Dr. Sunil Kumar Vuppala

Dr. Sunil Kumar Vuppala

Vice President & Head - AI Engineering

About

Dr. Sunil Kumar Vuppala is a distinguished executive with over 21 years of industrial experience in AI, Generative AI, and Agentic AI. He is working as Vice President and Head of AI Engineering at ArisGlobal. A triple-threat professional, he combines deep technical expertise (Ph.D., IIIT-B; M.Tech, IIT Roorkee) with business strategy (IIM-A) and legal acumen (MBL, NLSIU).

He has architected four major global AI platforms and deployed over 30 high-impact production use cases for giants like Ericsson, Philips, and Infosys. His innovation portfolio includes 40+ patents and 30+ technical publications. Dr. Vuppala is a recognized Top 10 Data Scientist in India, an ACM Distinguished Speaker, and recipient of the IEEE TEMS Engineering Manager of the Year award. As Visiting Faculty at top-tier Indian and U.S. institutes, Dr. Vuppala translates complex industrial AI practices into academic excellence. He is an expert in scaling AI for business value, prioritizing Responsible AI and Agentic productivity. 

Agentic AI is transforming how enterprises automate decisions, workflows, and knowledge work. However, moving from prototypes to production requires more than connecting an LLM to a workflow. Enterprises must address challenges around governance, reliability, observability, compliance, security, scalability, and cost optimization while delivering measurable business value.
In this session, Dr. Sunil Kumar Vuppala, Vice President & Head of AI Engineering, ArisGlobal will share a practical playbook for designing, deploying, and operating enterprise AI agents at scale. Drawing from real-world experience and examples from highly regulated industries such as Life Sciences, the session will cover proven architectural patterns, multi agent orchestration strategies, retrieval-augmented generation (RAG), human-in-the-loop controls, evaluation frameworks, and AgentOps practices.
Attendees will learn common pitfalls, proven patterns, and actionable strategies for building secure, reliable, and production-ready AI agent ecosystems.

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