Nitin Agarwal

Nitin Agarwal

Principal Data Scientist

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Nitin is an accomplished Data Science leader with 14 years of experience at the intersection of Generative AI, Large Language Models, Machine Learning, and advanced analytics. He brings deep expertise in designing and deploying AI copilots that seamlessly integrate cutting-edge technology with user-centric design, driving measurable impact at scale. His work spans the full AI spectrum—from classical ML systems to state-of-the-art GenAI solutions—transforming how users engage with intelligent technology.

This session introduces the Model Context Protocol (MCP), an open standard developed by Anthropic to streamline how AI agents interact with external tools and data sources. Attendees will gain a foundational understanding of MCP's client-server architecture and how it standardizes communication with systems such as databases and APIs. By reducing custom integration overhead, MCP enables modularity, improved automation, and scalable agent workflows. The session includes a live demonstration showcasing how MCP connects AI agents to real-world tools, offering practical insights for developers and AI practitioners.

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More