Bobby Mohammed
Bobby Mohammed is a Principal Product Manager at AWS, leading product initiatives in Search, GenAI, and Agentic AI. He has previously worked across the full machine-learning lifecycle, including data, analytics, and ML features on the Amazon SageMaker platform, as well as deep-learning training and inference products at Intel. Bobby holds an MBA from the Kellogg School of Management at Northwestern University, and a Master’s and Bachelor’s degree in Electrical Engineering.
Sessions
Agentic Tuning: Search Relevance on Autopilot
Talk
7. May 2026, 09:15 - 10:00
Main Stage
Search relevance tuning is notoriously difficult, often requiring a deep understanding of Lucene scoring, complex query DSLs, and iterative manual testing.
This session introduces Agentic Relevance Tuning—a framework that leverages LLM-based agents to automate the full search lifecycle making search tuning faster, more accurate, and accessible.