Rajiv Shah is an Agentic AI Engineer, Professor, Speaker, and Edutainer. At OpenHands, he helps enterprises with the latest AI while educating practitioners about what actually works.

He's worked hands-on with 100+ AI use cases across enterprise, startup, and research - from recommendation systems to RAG pipelines. The failures taught him more than the successes. They almost always came down to framing, not algorithms.

His career spans 20+ patents, been cited over 1000 times, a PhD from UIUC, and an expert in practical AI.

Today he reaches 100K+ practitioners through talks, videos, and content at AI conferences - known by @rajistics.

Check out a recent interview on the ODSC podcast as well as a deep dive on Harness Engineering for Coding Agents.

See also Framing AI: https://aiframer.dev/

AI Problem Framing for AI Practitioners - The Book