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Tanuja Ganu

Director of Research Engineering-Microsoft

Tanuja Ganu is a Director of Research Engineering at Microsoft Research India, where she focuses on building advanced, real-world AI systems, including equitable AI copilots and multimodal reasoning technologies and robust Agentic systems. She is recognized for her work in applied AI and machine learning research, blending technical leadership with innovative product-oriented research. She is experienced in research engineering and contributions within a top-tier global research organization.

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Bhaskarjit Sarmah

Head of Financial Services AI Research-Domyn

Bhaskarjit Sarmah, Head of Financial Services AI Research at Domyn, leverages over 11 years of data science expertise across diverse industries. Previously, at BlackRock, he pioneered machine learning solutions to bolster liquidity risk analytics, uncover pricing opportunities in securities lending, and develop market regime change detection systems using network science. Bhaskarjit's proficiency extends to natural language processing and computer vision, enabling him to extract insights from unstructured data and deliver actionable reports. Committed to empowering investors and fostering superior financial outcomes, he embodies a strategic fusion of data-driven innovation and domain knowledge in the world's largest asset management firm.

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Dipanjan Sarkar

Head of Artificial Intelligence & Community-Analytics Vidhya

Dipanjan Sarkar is currently the Head of Artificial Intelligence & Community, Analytics Vidhya. He is also a published Author, and Consultant, boasting over 13 years of extensive expertise in Machine Learning, Deep Learning, Generative AI, Agentic AI, Computer Vision, and Natural Language Processing. His leadership spans Fortune 100 enterprises to startups, crafting end-to-end AI products and pioneering AI upskilling programs. A seasoned advisor, Dipanjan advises a diverse clientele, from Engineers and Architects to C-suite executives and PhDs, across Advanced Analytics, AI Strategy & Development. Recognitions include 'Top 10 Data Scientists in India, 2020', '40 under 40 Data Scientists, 2021', 'Google Developer Expert - Machine Learning, 2019', 'Top 50 AI Thought Leaders, 2022', 'Google Champion Innovator Cloud AIML, 2022', 'Top 10 AI Leaders in India, 2024', '40 Under 40, 2025', alongside global accolades including Top 100 Influential AI Voices in LinkedIn.

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Arun Prakash Asokan

Global Director of Data Science and AI-Novartis

Arun Prakash Asokan, an award-winning AI thought leader and Intrapreneur, has been awarded and honoured as Top Gen AI Leader 2024 by Analytics Vidhya, Scholar of Excellence from ISB Hyderabad, and Grand Global Winner of the Tableau International Contest. He holds a Master’s in Computer Science Engineering from BITS Pilani, a B.Tech. in Computer Science & Engineering, and has completed the Advanced Management Program from Indian School of Business, Hyderabad. He has also been honored at global enterprise forums for his groundbreaking AI innovations.

With close to 17 years of experience across all fields of AI, including 7 years at Novartis, Arun currently leads global AI programs driving enterprise-wide adoption of cutting-edge AI and GenAI solutions. Known as a strategic AI translator, he bridges business vision with technical execution, delivering transformative, scalable solutions that have won global recognition. 

He has pioneered reusable GenAI accelerators that have reduced development time by up to 80%, developed enterprise-grade AI security frameworks, and created award-winning AI platforms for anomaly detection and risk mitigation — delivering measurable business impact across finance, legal, compliance, and HR.

As a passionate AI thought leader, Arun has spent the last decade democratizing AI through community contributions, talks, keynotes, hack sessions, and sustained efforts to bridge the academia–industry gap. He has mentored thousands of AI enthusiasts worldwide, delivering several hundred talks, including 75+ on GenAI in just the past two years at ISB, IIMB, IIITH, Analytics Vidhya, and other global forums.

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Sandeep Singh

Expert Senior Director-Bain & Company

Sandeep Singh is a passionate leader and expert in Deep Learning and Artificial Intelligence. With a strong background in computer science and extensive experience in machine learning research, he has made significant contributions to the advancement of AI technology. 

Sandeep has delivered numerous talks and workshops worldwide, inspiring and educating audiences about AI's potential to revolutionize various industries. As a dedicated mentor, he actively guides aspiring AI professionals and fosters innovation in the field. Currently serving as Expert Senior Director at Bain & Company, Sandeep continues to drive innovation and push the boundaries of AI technology.

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Kartik Nighania

MLOps Engineer-Typewise

Kartik Nighania, an esteemed figure in AI, specializes in MLOps and is currently an engineer at Typewise in Europe. With over seven years of industry experience, Kartik's expertise spans diverse domains such as computer vision, reinforcement learning, NLP, and Gen AI systems. Previously, as Head of Engineering of a YCombinator-backed startup, Kartik spearheaded successful ventures in AI focusing on infrastructure scaling, team leadership, and MLOps implementation. His contributions to academia include publications in top journals and projects undertaken for the Government's Ministry of Human Resource Development (MHRD).

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Dr. Sayan Ranu

Professor at Department of Computer Science and Eng.-IIT Delhi

Sayan Ranu holds the joint positions of Nick McKeown Chair Professor at the Department of Computer Science and Eng. and the Yardi School of AI at IIT Delhi. His research interests span the broad area of machine learning and data mining for graphs. Sayan obtained his PhD from the Department of Computer Science, University of California, Santa Barbara (UCSB) in March 2012. Sayan has received several awards and recognitions including ACM India Early Career Researcher Award, Honorable Mention, 2024, Indian National Science Academy (INSA) Associate Fellowship 2023, Mrs. Veena Arora Early Career Faculty Research Award of IIT Delhi 2023, Associate of the Indian Academy of Sciences (IASc) 2020, Teaching Excellence Award 2025, and most reproducible paper award at SIGMOD 2018. Sayan regularly serves in the program committees and review panels of prestigious conferences and journals and has been awarded Outstanding Reviewer Awards at WSDM 2021, VLDB 2022, ICLR 2024 and KDD 2025. Sayan has been granted 5 US patents. Sayan’s dissertation on graph based techniques for querying and mining molecular databases served as the seed idea behind a life science based R&D start-up focusing on advanced technology for drug discovery.

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Kunal Jain

Founder & CEO-Analytics Vidhya

Kunal Jain is the Founder & CEO of Analytics Vidhya, India’s largest Analytics and Data Science community. He has spent over 18 years in the data science field. His experience in leading and delivering data science projects ranges from mature markets like the United Kingdom to developing markets like India. Kunal is a renowned data science and AI figure who has helped countless individuals achieve their data science aspirations through his unique and unparalleled vision. Before starting Analytics Vidhya, he did his graduation & post-graduation from IIT Bombay and has worked with companies like Capital One & Aviva Life Insurance across different geographies.

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Nitin Agarwal

Principal Data Scientist-Atlassian

Nitin Agarwal is a generative AI leader with deep expertise in Large Language Models (LLMs), Natural Language Processing, Machine Learning, and intelligent automation. Passionate about turning cutting-edge AI capabilities into practical, production-grade systems that drive measurable business value. 

Extensive experience developing end-to-end AI platforms, LLM-powered applications, and intelligent systems that enable decision intelligence, knowledge discovery, and next-generation digital experiences. Skilled at translating complex AI concepts into scalable enterprise solutions that enhance productivity, improve customer engagement, and unlock new growth opportunities. 

Known for leading high-impact AI initiatives, guiding cross-functional teams, and fostering a culture of innovation, experimentation, and continuous learning. Strong focus on bridging business strategy with emerging AI technologies to deliver responsible, scalable, and impactful AI solutions. 

Active contributor to the AI ecosystem as a mentor, speaker, and thought leader, with a strong interest in advancing the practical adoption of Generative AI and shaping the future of intelligent systems. 

Driven by a mission to push the boundaries of AI—building technologies that empower people, transform enterprises, and redefine what intelligent systems can achieve.

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Harshad Khadilkar

Director, Principal Research Scientist-Franklin Templeton

Harshad is a Director, Principal Research Scientist at Franklin Templeton, where his focus is on making generative AI more reliable and capable. He is also a visiting associate professor at IIT Bombay, where he teaches courses in the areas of control, optimization, and reinforcement learning. He has 12 years of experience applying intelligent algorithms to real-world applications in energy, transportation, supply chain, and finance. Harshad holds a BTech from IIT Bombay and SM and PhD degrees from the Massachusetts Institute of Technology.

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Pranjal Singh

Staff Data Scientist-Udaan

Pranjal Singh is a Staff Data Scientist at udaan. He comes with a decade-long career in Data Science and AI, with a profound understanding across various AI & ML domains. His area of expertise extends to fraud prevention, AI-driven GTM design, recommendations, search algorithms, and route optimization. A holder of two patents and contributor to multiple academic publications in NLP and ML. Prior to joining udaan, India’s largest eB2B commerce platform, Pranjal held several key positions at Visa, Ola, and Ping Identity, providing him with a holistic perspective on the application of AI across different industry sectors and verticals. In the past, Pranjal has been a speaker at various industry forums. Pranjal has a Bachelor's and Master's degrees in Computer Science from IIT Kanpur.

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Saurav Agarwal

Senior Manager - Solutions Architecture and Engineering-NVIDIA

Saurav is an AI leader with 14+ years of experience in Generative AI, Big Data Engineering, and Cloud Computing. He specializes in NVIDIA’s AI stack, delivering scalable solutions in LLMs, Conversational AI, and Data Science. Known for driving digital transformation across sectors, Saurav excels at building accurate, scalable, and reliable AI systems. His strategic focus empowers organizations to harness the full potential of GenAI, accelerating innovation and business growth through cutting-edge technology.

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Alessandro Romano

Senior Data Scientist-Kuehne+Nagel

Alessandro Romano is a Senior Data Scientist at Kuehne + Nagel and an accomplished public speaker. With over 8 years of experience in data analysis, he brings deep technical expertise in implementing large language model (LLM) - based solutions across diverse industries.

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Sonny Laskar

Co-Founder-Zijus

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Sanathraj Narayan

Data Science Manager-Lam Research

Sanath brings over a decade of experience in AI/ML, data science, and analytics, with a strong track record of building and deploying machine learning solutions at scale. Before joining Lam, he was a Senior Data Scientist at Ericsson, where he led model development and implementation for network rollout and forecasting use cases. He has also worked at Mindtree and KPMG, focusing on predictive analytics, scalable ML models, and enterprise AI solutions. Sanath is passionate about industrializing AI/ML models and driving real-world impact. He has been an active speaker at AI/ML conferences like Cypher and DataHack Summit, sharing insights on LangChain and LLM-based applications.

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Anuj Saini

Director Data Scientist-RPX

Anuj Saini is an AI practitioner with over 15 years of experience in machine learning, natural language processing, and deep learning. His work focuses on building practical, production-ready AI systems, with an emphasis on Generative AI, large language models (LLMs), and agentic workflows.

He has worked on end-to-end AI applications across areas such as Retrieval-Augmented Generation (RAG), model evaluation, and scalable deployment. His recent work includes designing agent-based systems using tools like LangGraph, along with integrating guardrails and observability frameworks for reliable AI systems.

Anuj is particularly interested in translating AI concepts into real-world solutions, focusing on system design, evaluation, and deployment patterns that are robust and maintainable.

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Tanika Gupta

Director Data Science-State Street Corp

She has architected and deployed multiple large-scale AI solutions, including a GenAI-powered recommendation engine that increased conversion rates by 15%, a sales intelligence chatbot that reduced response time by 60%, and optimization systems that improved marketing ROI by 20%. She also led a winning solution at the Barry Callebaut GenAI Hackathon, outperforming 11 global AI vendors and generating significant business value.

Previously, Tanika served as Vice President of Machine Learning at JPMorgan Chase, where she built advanced fraud detection systems that reduced fraud incidents by 30% and delivered $20M in annual savings. Her earlier work at Mastercard and American Express focused on AI-driven financial innovation, where she filed multiple patents and developed impactful predictive models.

Recognized as a Top Generative AI Scientist and winner of the Financial AI Hackathon 2025, she was personally awarded by Andrew Ng. Beyond her professional work, Tanika is an active speaker at global AI conferences such as DataHack Summit and AI Journey, and mentors professionals through platforms like Analytics Vidhya and upGrad.

She is passionate about combining strong AI/ML architecture with product thinking to build scalable, enterprise-grade GenAI systems that solve complex, high-impact business problems.

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Rohan Rao

Head of AI (Products)-Analytics Vidhya

Rohan Rao, a veteran Machine Learning professional! With a wealth of experience in data science and machine learning, Rohan is a seasoned contributor at the forefront of innovation. He brings a unique blend of AI and Machine Learning expertise and has built products across various industries over the years. With a track record of delivering impactful solutions, Rohan is passionate about leveraging data to drive business success. Get inspired by his insights and expertise at our data science event!

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Mayank Baranwal

Senior Scientist, Data and Decision Sciences-TCS Research

Mayank Baranwal is a Senior Scientist with the Tata Consultancy Services (TCS) research division in Mumbai. He also holds an Adjunct appointment with the Systems and Control group at the Indian Institute of Technology, Bombay (IITB). Before joining TCS, he was a postdoctoral scholar in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor. He received his Bachelor in Mechanical Engineering in 2011 from the Indian Institute of Technology, Kanpur (IITK), an MS in Mechanical Science and Engineering in 2014, an MS in Mathematics in 2015, and PhD in Mechanical Science and Engineering in 2018, all from the University of Illinois at Urbana-Champaign (UIUC).

His research interests are modeling, optimization, control, and inference in network systems with applications to distributed optimization, supply-chain networks, power networks, control of microgrids, bioinformatics, computational biology, and deep learning theory. Mayank is a recipient of the Institute Silver Medal in 2011 (IIT Kanpur), the ME Outstanding Publication Award in 2017 (the University of Illinois), the Young Scientist Award in 2022 (Tata Consultancy Services), and the AI Research Award in 2024 (Nasscom AI). He is also a Young Associate with the Indian National Academy of Engineering (INAE).

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Manoranjan Rajguru

AI Architect-Microsoft

Manoranjan Rajguru is an AI Architect at Microsoft, specializing in Generative AI and Large Language Models. With over a decade of experience in AI and ML, he previously served as a Data Scientist at Amazon. Manoranjan is a prominent figure in the tech community, contributing over 30 articles to Medium and maintaining a LinkedIn following of 8,000 professionals. His expertise and thought leadership have significantly influenced technical advancements and shaped the AI landscape. Manoranjan's work continues to drive innovation and impact in the field of artificial intelligence.

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Hitesh Nayak

Senior director - AI .-Logile

Hitesh is a Senior director - AI at Logile. He manages Agentic AI & Datascience initiatives across the organization . Predominantly in the retail industry , supply chain and operations management.

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Hardik Meisheri

Senior Applied Scientist-Microsoft AI

Hardik Meisheri is a Senior Applied Scientist at Microsoft AI, with over a decade of experience in reinforcement learning and machine learning. His work spans the full arc of RL's evolution — from classical control problems like supply chain optimization and multi-agent coordination at TCS Research, to fine-tuning LLMs with RLHF for ad policy understanding at Amazon Advertising, to now building large-scale foundational models at Microsoft AI. Across these roles, he has tackled many of the core challenges that underpin today's LLM-based agents, designing effective reward signals, improving sample efficiency in complex environments, scaling multi-agent systems under real-world constraints, and aligning model behavior with production-level objectives.

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Dr. Aditya Bhattacharya

Applied AI/ML Lead-Nutanix

Aditya is the Applied AI Lead at Nutanix, where he works on advancing applied AI and machine learning solutions for Nutanix Panacea AI. He brings over 10 years of experience in data science, machine learning, IoT, and software development, along with several years of leadership and team management experience. Aditya holds a PhD in Explainable AI from KU Leuven and is the author of the well-known book Applied Machine Learning Explainability Techniques. He is also an active contributor to the AI community, having spoken at conferences such as AAAI, ACM, ODSC, Indo Data Week, and GIDS, and regularly shares his learnings through platforms like Towards Data Science, Medium, and YouTube.

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Abhilash Majumder

Senior Compiler Engineer-NVIDIA

Abhilash Majumder is a Senior DL Compiler Engineer at Nvidia accelerating PTX, Cuda and DSLs. Member of the ISO C++ standards and co-maintainer of std::simd and std::execution. Previously was a staff DL frameworks and compiler engineer at Intel, Habana Labs; Author and University lecturer on compilers, C++ and deep learning.

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Nikhil Rana

Senior Technical Solutions Consultant, AI/ML-Google

Nikhil is an applied data science & cloud professional with over a decade of experience in developing and implementing ML, Deep Learning, and GenAI solutions for a variety of industries like Finance, Retail, Energy, etc. He is passionate about the use of data science to solve real-world problems and is always looking for new ways to use data & AI to make a positive impact on the world.

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Praneeth Paikray

Solutions Architect - AI-Databricks

Praneeth Paikray is a AI Solutions Architect at Databricks and an AI practitioner with 9 years of experience building applied Data Science & AI systems across financial services, enterprise technology, and workforce solutions. He is interested in practical AI systems that can be deployed in the real world, from generative AI workflows to agentic architectures and optimization techniques.

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Manu Joseph

Principal Data Scientist-Walmart Global Tech

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Abhishek Kumar

Senior Director Data Science-Publicis Sapient

Abhishek Kumar is a Senior Director of Data Science & AI at Publicis Sapient, where he leads the AI and Data Science practice and drives large-scale enterprise adoption of AI and Generative AI solutions. With ~19 years of experience in AI and Machine Learning, he specializes in building and deploying machine learning and deep learning systems at scale, helping organizations translate data into measurable business impact.

He holds a Master’s degree from the University of California, Berkeley and is a recipient of the prestigious Hal Varian Award for his work in deep learning. His expertise spans recommender systems, forecasting, optimization, anomaly detection, computer vision, and natural language processing, with a strong focus on production-grade AI systems and agentic architectures.

Abhishek has worked with multiple Fortune 500 enterprises across industries such as retail, e-commerce, automotive, and marketing, helping define AI strategy and deliver scalable data products from concept to deployment. He is recognized as a Google Developers Expert (Machine Learning) and a Google Cloud Champion, and is a long-time author on Pluralsight, where his courses have reached a global audience.

A frequent speaker at leading conferences including Strata Data Conference, ODSC, and the Artificial Intelligence Conference, Abhishek is also an instructor at Berkeley Haas Executive Education, where he teaches courses on AI, data, and innovation strategy.

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Dheeraj Nagaraj

Research Scientist-Google DeepMind

Dheeraj Nagaraj is a Research Scientist at Google DeepMind. He works on various problems in theoretical machine learning, applied probability, and statistics. His current work focuses on sampling and generative modeling with diffusion models. He completed his PhD at the Lab for Information and Decision Systems (LIDS) at MIT in 2021 and earned his dual degree in Electrical Engineering from IIT Madras in 2016.

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Anand S

LLM Psychologist-Straive

Anand is an LLM psychologist at Straive. (It's not an official title. He just calls himself that.) He co-founded Gramener, a data science company that narrates visual data stories, which Straive acquired. He is considered one of India's top 10 data scientists and is a regular TEDx speaker. More importantly, he has hand-transcribed every Calvin & Hobbes strip ever.

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Mathangi Sri

Co-founder-YuVerse

Mathangi Sri is the Co-founder of YuVerse, where she helps enterprises unlock efficiency and elevate customer experience through AI. YuVerse's solutions — spanning alternate-data scoring, intelligent document processing, and AI-powered voice automation — enable organizations to accelerate credit decisions, sharpen fraud detection, and automate critical workflows from credit report generation to collections.

Before founding YuVerse, Mathangi served as Chief Data Officer at Yubi, where she shaped the company's data strategy, governance framework, and AI roadmap. Her experience building high-impact, data-driven systems at Yubi — and across financial services and technology — laid the groundwork for YuVerse.

Mathangi holds over 100 patent grants in intuitive customer experience and user profiling, and is the author of two widely regarded books: Practical Natural Language Processing with Python (Apress/Springer) and Capitalizing Data Science (BPB Publications). She has built and scaled data science organizations at Citibank, HSBC, and GE, as well as high-growth startups including [24]7.ai, PhonePe, and Gojek.

A passionate advocate for applied AI, she contributes actively to the data science community through lectures, writing, advisory roles, and mentorship — and serves as guest faculty at IIIT Sri City, IIM Kashipur, and NIT Trichy.

Her leadership has earned wide recognition, including Trailblazer Visionary in AI (ET Edge, 2024), 10 Most Influential Leaders in BFSI (Analytics India Magazine, 2024), CDO/CTO/CIO of the Year (Bharat Fintech Summit, 2024), and Inspiring Woman in AI (3AI, 2024). She has also been listed among India's Top 50 Influential AI Leaders (Analytics India Magazine, 2021), Top AI Leaders in India (3AI, 2021), and was named one of "The Phenomenal SHE" by the Indian National Bar Association (2019).

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Sudalai Rajkumar

AI Innovations-CobuildX AI

Meet SRK @ Sudalai Rajkumar, currently leading AI Innovations at Tiger Analytics, has over 16 years of experience in solving real-world business problems across multiple domains. In his current role, a lot of his work is around building Agentic AI applications. SRK is one of the few Quadruple Kaggle Grandmasters in the world, showcasing his exceptional skills in data science competitions and has won several of them. His expertise in AI / ML and passion for continuous learning make him a standout in the field.

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Bharath Kumar Bolla

Associate Director-Novartis

Bharath Kumar Bolla is an Associate Director of MLOps and Data Science at Novartis, where he leads a cross-functional team of ML engineers and MLOps specialists, driving the AI/ML strategy for commercial analytics across 11 European markets and 25+ product lines. His mandate spans end-to-end ML platform architecture, production pipeline automation, and the integration of generative AI capabilities into enterprise workflows, translating complex data science initiatives into measurable commercial impact at scale. Prior to Novartis, he held senior data science and leadership roles at Salesforce, Verizon, and Emory University, spanning recommendation systems, NLP, pricing optimization, and clinical research, with over 15 years of experience bringing AI from proof-of-concept to production across regulated and high-stakes industries. Bharath has authored Large Language Model Recipes (Apress, 2026), a hands-on guide to fine-tuning, optimization, and deployment of LLMs, and has published close to 30 peer-reviewed papers across computer vision, NLP, and forecasting domains, accumulating over 250 citations. He has delivered 9+ invited talks at conferences and forums including the Machine Learning Developers Summit, Deep Learning Developers Conference, Analytics Vidhya Data Hour series, the AABS African Deans and Directors Forum, and the Future Tech Summit, where he received the Emerging Leader Award. He has served as sole or co-technical reviewer for five published books in AI and explainability. He holds an MS in Data Science from the University of Arizona and an Executive MBA in Product Management from the Institute of Product Leadership. He was recognized among Analytics India Magazine's 40 Under 40 Data Scientists (2022) and received the AI Changemaker Impact Award from 3AI. His current research interests include mechanistic interpretability applied to clinical language models, post-training alignment methods, and agentic AI architectures.

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Jatin Chaudhary

Senior Manager-Cisco

Jatin Chaudhary is a Senior Manager at Cisco Systems, where he leads initiatives at the intersection of Generative AI, data platforms, and enterprise systems architecture. With over 15 years of experience spanning data science and software engineering, he specializes in building production-grade AI systems that drive automation, operational efficiency, and decision intelligence at scale. His recent work focuses on Agentic AI architectures, designing multi-agent systems powered by LLMs that operate on enterprise data with strong guardrails, traceability, and governance. He has led the development of AI-driven solutions for complex enterprise workflows, including compliance automation and intelligent decisioning systems. Beyond his industry role, Jatin serves as an Adjunct Faculty at International Institute of Information Technology Bangalore, where he teaches and mentors professionals in data science and AI. He is a frequent speaker, workshop facilitator, and technical mentor, passionate about bridging the gap between cutting-edge AI capabilities and real-world enterprise adoption.

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Ashish Pal

Lead ML engineer-Twilio

Ashish is an AI leader and Machine Learning Engineer with ~10 years of experience across data engineering, analytics, research, and building end-to-end ML systems. He focuses on designing practical AI and agentic solutions, especially in generative AI and real-world product applications. Alongside his engineering work, Ashish creates content and learning resources to help people understand AI and grow their careers, and he is actively exploring entrepreneurship in building scalable AI-driven platforms and automation systems.

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Mayur Madnani

Principal Software Engineer-Candescent

Mayur Madnani is a Principal Software Engineer at Candescent, specializing in large-scale distributed systems, data infrastructure, and applied AI. With over a decade of experience designing and scaling platforms across SAP, Walmart, Intuit, JioHotstar, and Candescent, he focuses on solving complex architectural challenges that empower engineering teams and support mission-critical systems serving millions of users.

His work spans data platforms, AI and Generative AI applications, real-time analytics, ML observability, distributed systems, and developer tooling. He is particularly interested in building self-service platforms and engineering capabilities that enable teams to move faster while maintaining reliability and operational excellence.

Beyond his engineering work, Mayur is a published researcher, patent holder, conference speaker, mentor, and active contributor to the engineering community. He has presented research at IEEE conferences, authored patents in AI and large-scale data systems, participated in industry hackathons, and regularly mentors engineers through technical talks, workshops, and community initiatives. Through his speaking engagements, he shares practical lessons from building production-scale systems and explores how AI, platform engineering, and distributed systems are shaping the future of software engineering.

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Manikantha S

Head of Product-Sarvam AI

Mani heads Product at Sarvam AI, India's full-stack Sovereign AI platform building foundational models and products for Indian languages. A product leader with deep experience in consumer and platform products, Mani has spent his career shipping products at the intersection of AI, design, and growth. Before Sarvam, Mani led product at StableMoney and Swiggy, where he worked on building products used by millions of Indians across food, payments, and financial services. At Sarvam, his scope spans product across the API Platform, Samvaad (conversational AI), Studio (Creators) and Akshar (Document Intelligence). An alumnus of BITS Pilani, Mani is focused on building a self-serve product-led motion that puts India's AI stack in the hands of every developer and enterprise in the country.

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Vijay Gabale

Co-Founder and CPO-Infilect

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Vikas Agrawal

Director of Data Science in AI and Applied Science-Oracle

Vikas Agrawal is a Director of Data Science in AI and Applied Science for Oracle Analytics. His role is to design, develop, and deploy AI applications in ERP, SCM, HCM, CX, and MFG across Fusion and NetSuite customers. These models need to get automatically generated, selected, and deployed for each customer as their data becomes available, and the models need to keep themselves updated as the world drifts. His research includes domain knowledge-driven, intelligent agents that compose available tools to solve complex problems, with approximate seeding of heuristics, hypotheses, relationships, and task hierarchies through critiqued LLMs and LMMs. Vikas is an electrical engineer turned computer scientist from IIT Delhi who has worked at CalTech, Intel Corporation, and Infosys.

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Rutvik Acharya

Senior Manager - AI Engineering-Capital One

ML/AI professional with over 14 years of experience in developing and scaling solutions in advanced machine learning, with a focus on NLP and LLMs. Skilled in managing end-to-end systems, including pipelines, model development, evaluation, and deployment. Demonstrated success in implementing advanced AI/ML techniques in production environments, while collaborating effectively with engineering, product, and business teams to drive impactful outcomes. Experience in hiring and mentoring teams for over 4 years.

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Vignesh Kumar

Director, AI Engineering-Ford Motor Company

Vignesh is the Director, AI Engineering at Ford Motor Company, where he focuses on translating cutting-edge AI concepts into tangible products and integrated system features. His expertise spans a decade in data science, bridging advanced technical execution with strategic business objectives. He specialises in areas like advanced machine learning (CNNs, RNNs, Transformers), NLP (from sentiment analysis to LLM-powered applications), and building robust, scalable end-to-end MLOps pipelines on GCP. He is deeply engaged with the latest advancements in Generative AI and Explainable AI, ensuring model transparency and responsible AI practices. Beyond his role at Ford, he actively contributes to the AI community as a speaker and mentor, particularly within the Great Lakes ecosystem. Currently, he is expanding his skillset through a dual Master's program at IIT and IIM Indore, driven by a passion for shaping the future of AI through innovation and collaboration.

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Anuvrat Parashar

Founder-Essentia

Anuvrat is a 15-year engineering veteran and fractional CTO who has scaled technical teams at dozens of early-stage startups. He is the Founder of Essentia and expert in transforming growing companies from 5 to 50+ engineers. 

He specializes in helping non-technical founders build world-class engineering teams and technical roadmaps. He is a regular speaker on engineering leadership and startup scaling at developer conferences across India. 

He is an active mentor at PyDelhi, Elixir Delhi, and other tech communities, and is passionate about developing India's next generation of technical leaders.

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Aarti Jha

Principal Data Scientist-Red Hat

Aarti Jha is a Principal Data Scientist at Red Hat, where she leads the development of AI-driven solutions that streamline internal operations and reduce costs. She has more than seven years of experience designing and deploying machine learning and generative AI solutions across multiple industries. A frequent speaker at developer and data science conferences, she shares practical insights on applied AI, LLMs, and building AI systems that deliver measurable business value.

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Kunal Deore

VP | Enterprise Risk Transformation & AI Governance Leader-Standard Chartered

Kunal Deore is an Enterprise Risk Governance and AI Governance professional with 12+ years of experience across enterprise risk, controls, AI, data science, analytics, and transformation. He specialises in helping organisations connect risk strategy, technology execution, and responsible AI adoption at enterprise scale.

At Standard Chartered Bank, Kunal leads governance and digital transformation initiatives within Group Risk Governance. His work focuses on bridging C-suite vision with practical execution by turning complex risk, control, and technology priorities into scalable governance solutions.

His strategic focus is on helping boards, C-suite risk, and technology leaders on AI governance, agentic AI risk, runtime controls, AI-first risk infrastructure, and responsible AI adoption. Kunal is an active thought contributor on enterprise AI governance and the future of AI-native operating models.

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Arun Ramachandran

Principal Member Of Technical Staff - Machine Learning-AMD

Arun Ramachandran is a Principal Member of Technical Staff at AMD India, with 19 years of industry experience. His work focuses on large language model (LLM) inference, a domain he is also pursuing through his doctoral research at the Indian Institute of Science (IISc), Bengaluru. He has 15 patent applications filed with the USPTO, several of which have been granted. At AMD, he contributes to AMD PACE, an open-source research and advanced-development project.

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Yugank Aman

Head of Artificial Intelligence-PayPal

Yugank Aman is an AI leader with 16+ years building and scaling AI across global enterprises - currently Head of AI at PayPal; prior to PayPal, leadership roles at Netflix, Microsoft, and PepsiCo. At PayPal, he leads a 350+ person organization of engineers and data scientists, driving agentic AI and commerce initiatives that have delivered significant revenue impact and operational efficiency at scale. His work spans generative and agentic AI, large-scale data platforms, and AI governance across global markets. He holds multiple patents, has contributed to emerging industry standards for agentic commerce, and speaks regularly on how enterprises adopt and scale AI.

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Gauri Malwe

Principal Data Scientist-Mastercard

Gauri  Malwe is a Principal Data Scientist at Mastercard , driving innovation at the intersection of Artificial Intelligence, payments, and commerce. She leads the development of next-generation AI capabilities spanning Generative AI , Agentic AI systems, NLP, Machine learning and computer vision. Her work focuses on translating emerging AI technologies into scalable, business-impacting solutions that enhance customer experiences, strengthen trust and security, and shape the future of financial services.

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Debjyoti Paul

Applied Scientist-Amazon

Debjyoti is a Data Scientist at Amazon with over 9 years of industrial experience in Natural Language Processing (NLP), Large Language Models (LLMs), and Agentic AI and Responsible AI, Currently Debjyoti is Leading Agentic development and actively working on Agent learning primarily focusing on Agentic System improvement from Context Engineering to RL based Learning framework. Prior to this Debjyoti has led AI-driven solutions in enterprise applications focusing on Anomaly Detection, Recommendation system, NLP, Information extraction and Computer Vision. Their research expertise spans AI ethical AI governance, bias mitigation, and scalable LLM deployment, model interpretability ensuring responsible AI adoption across industries. With hands-on experience in developing production-grade AI systems, they actively research fairness, robustness, and transparency in AI, contributing to frameworks that enhance trust and accountability in AI-driven decision-making.

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Avinash Kumar Singh

Senior Researcher-Domyn

Dr. Avinash Kumar Singh is a Senior Researcher at Domyn and an AI expert with over 14 years of experience spanning research, engineering, and leadership in artificial intelligence. His work focuses on large language models (LLMs), computer vision, and human–AI interaction, with a strong emphasis on building scalable, real-world AI systems. He has led and contributed to impactful projects in conversational AI, financial reasoning with LLMs, video intelligence, and assistive technologies, combining deep technical expertise with hands-on experience deploying solutions across cloud, edge, and robotics platforms.

Dr. Singh holds a Ph.D. in Computer Vision and has completed postdoctoral research in human-robot interaction at Umeå University, Sweden, and Montpellier University, France. He has contributed to several top-tier conferences and journals and is an active educator, mentoring professionals in areas such as computer vision, natural language processing, and agentic AI systems. His research interests include Responsible and Sovereign AI, with a particular focus on improving the reliability, safety, and behavior of large language models, bridging the gap between theoretical advances and real-world deployment.

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Purva Porwal

AI/ML Manager - Architect-State Street Corp

Purva Porwal is AI/ML Manager & Architect at State Street Corp with decade of experience in the tech industry. Primarily contributing in  various enterprise AI solutions design, Conversational AI and Natural Language Processing, she has driven impactful innovations across key industries such as finance and telecommunications. Her passion lies in harnessing AI’s potential to create meaningful transformation, and is constantly exploring emerging technologies in the field. Beyond her technical expertise, Purva is an active mentor, supporting and inspiring future professionals in the AI space. She plays an integral role in the AI community, contributing to thought leadership and fostering collaborative progress.

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Mayank Sultania

Machine Learning Engineer-LogicMonitor

Mayank Sultania is an AI Engineer passionate about building practical AI solutions that solve real-world problems. He enjoy's simplifying complex concepts and sharing knowledge about modern AI systems like LLMs, voice AI, and intelligent applications.

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Saurabh Jha

VP & Global Head - Data & AI-Tech Mahindra

With over 24 years of global experience, Saurabh has worked across India, Europe, the UK, and the US. He leads Tech Mahindra’s Data and AI practice, which helps enterprises strategize, design, implement, and deliver data and analytics, cloud-based data, and AI-related transformation initiatives. He has a wide experience ranging from setting up new teams and practices, planning and executing go-to-market strategies, leading global alliances, and advising customers on effective alignment between their business goals and the latest digital technologies. Previously, he held strategic roles at Oracle, KPMG, and Mphasis, where he advised clients across industries and spearheaded regional expansions.

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Srinivas Chamarthy

Senior Vice President Engineering-Diligent

Srinivas Chamarthy is Senior Vice President of Engineering and India Site Lead at Diligent, where he leads engineering, AI, product, and platform teams driving innovation in Governance, Risk, and Compliance (GRC). With over two decades of leadership experience across Diligent, Grab, Flipkart, Amazon, and Cisco, he has built and scaled large-scale fintech, AI, e-commerce, and enterprise platforms serving millions of users globally. Srinivas is passionate about AI-driven transformation, high-performance engineering organizations, and building intelligent systems that deliver business impact at scale.

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Nikhil Singh

Data Science-Amazon

Nikhil Singh is a Data Science and AI lead with over 12 years of experience building data science and analytics solutions across advertising, retail, healthcare, and technology. He currently works in Amazon Ads, where he has led the development of large-scale audience intelligence and measurement solution frameworks. His work focuses on combining machine learning, consumer insights, and AI to solve complex business problems at scale.

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Dr Kiran R

Vice President of Engineering & Sciences-Oracle

Dr Kiran R is the Vice President of Engineering & Sciences at Oracle, where he drives AI for HealthTech. He took several Health AI Copilots from concept to ~$100M ARR products, automating high-stakes clinical workflows for clinicians across note-taking, orders, and summaries. He also drives AI orchestration using the underlying Horizontal Engineering platform. In his prior role as Partner Director & General Manager at Microsoft, he was the Co-pilot Engineering leader & the leader of Applied ML & ML Engineering in Microsoft Cloud Data Sciences on Azure. He has experience driving concept-completion-production ML projects, building out on-prem and on-the-cloud MLOps platforms while conceptualizing & scaling extensible ML services. He has a track record of driving impact through incorporation of ML into products & solutions. He was also Senior Director of ML at VMware.
Kiran has 40+ filed & granted US patents. He is a Kaggle competitions grandmaster (one of ~100 WW) and had a highest WW rank of 7. He is a prize winner in the prestigious KDD Data Mining Cup. He is recipient of the CTO award at VMware and Innovator of the year award from Michael Dell in person.

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Mohammad Sanad Zaki Rizvi

Senior AI Scientist-Analytics Vidhya

Sanad is a Senior AI Scientist at Analytics Vidhya and a published researcher specializing in Natural Language Processing. With experience across top research labs including Google Research, Microsoft Research, and the University of Edinburgh, his work spans hallucination mitigation in LLMs, multilingual NLP, and low-resource language modeling. He has also designed and taught popular MOOCs in NLP and Deep Learning. Sanad is passionate about open-source NLP tools, responsible AI, and making state-of-the-art research accessible to all.

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Anand Mishra

Chief Technology Officer-Analytics Vidhya

Anand Mishra is the Chief Technology Officer at Analytics Vidhya, known for his result-oriented, customer-centric approach. With over a decade of experience, he has led data science teams across companies like HT Media, Tickled Media, and Infoedge. At HT Media, his team revamped recommendation systems, boosting mailer response by 200% and cold calling revenue by 30%. Anand holds a dual B.Tech and M.Tech in Electrical Engineering from IIT Kanpur. His expertise spans machine learning, decision optimization, and large-scale image and data processing across global research internships.

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Gyan Prakash Tripathi

Senior Manager -AI Projects-Analytics Vidhya

Gyan is a Computer Science major with over five years of experience in analytics, artificial intelligence, and data science. Currently, he leads the AI Projects vertical at Analytics Vidhya, where he spearheads initiatives that bridge the gap between cutting-edge AI research and practical business applications. Previously, he led the analytics team at Analytics Vidhya, driving data-driven strategies and solutions across various domains.

With a strong foundation in both technical and business aspects, he has collaborated closely with industry leaders to address complex challenges using AI and data. His team is currently developing OpenEngage, an AI-driven ultra-personalized marketing engine designed to revolutionize customer engagement and experience.

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Subramanian Mannahra

Lead Analytics Manager-TNQTech

Subramanian Mannahra spent a decade running business operations before pivoting deliberately into data science and AI. The result: analytics grounded in business consequence, not abstraction. He leads Data & Insights at TNQ Tech, chasing causation over correlation—the upstream "why" behind every downstream outcome.

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Rajalakshmi Karat

Head and Assistant Vice President of Research & Development-TNQTech

Rajalakshmi Karat is the Head and Assistant Vice-President of Research & Development at TNQTech. With over 20 years of experience in scholarly publishing, she leads AI, automation, and content intelligence initiatives. She champions pragmatic innovation, believing the best solutions combine AI, structured data, domain expertise, and human judgment,not AI alone.

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Joseph Thomas Thachil

Knowledge Graph Engineer-Domyn

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Madhan RA

Vice President, Fraud Risk Modeling-American Express

Madhan is Head of Global Fraud Risk Modeling at American Express and has 15 years of experience building AI and machine learning models across credit and fraud risk, helping prevent fraud and enhance the customer experience.

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Divya Mittal

VP , Global Head of First Party Fraud-American Express

Divya is a Vice President at American Express leading first party fraud for the Global Card Portfolio. She has extensive industry experience across credit and fraud risk, machine learning, and commercial underwriting.

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Harshit Chaudhary

Software Engineer-Jarvis Labs

Harshit Chaudhary is an Engineer at Jarvis Labs, who focus on GPU infrastructure and AI cloud. He works on building the infrastructure that gives developers easy access to GPU compute, so they can train and run AI workloads without managing the hardware themselves. He is working on Inference, the layer that lets anyone take a model and turn it into something people can actually use, making it easy to host, run, and chat with a model at any scale.

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Atharva Ingle

AI Engineer-Jarvis Labs

Atharva Ingle is an AI Engineer at JarvisLabs, where he works on GPU infrastructure for large-scale model inference. He helps teams deploy and serve open models efficiently, with a focus on making them faster and more cost-effective. He keeps up with the bleeding edge of AI and shares his learnings through blogs and experiments.

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Sawinder Pal Kaur

AI Application Engineering Expert-SAP

Sawinder Pal Kaur is an AI expert who believes the most powerful AI is the kind that actually works in the "messy" reality of the real world. As an AI Application Engineering Expert at SAP Labs India, she sculpt complex enterprise challenges into precise, impactful products. Her expertise spans Retrieval-Augmented Generation (RAG), predictive risk frameworks, Agentic AI, and Generative AI. A leader and mentor, she is known for transforming complex enterprise challenges into practical solutions and for translating technical concepts into clear, actionable strategies for executives and cross-functional teams.

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