Rahul Amlekar is a Principal Product Manager specializing in agent evaluations and observability, currently building a platform at Bloomberg used by 20+ AI teams to validate production agents and MCP-backed tools. He previously spent seven years at Microsoft leading Windows AI APIs and developer platforms for on-device AI—work that powered Copilot+ PC experiences and was highlighted in company keynotes. Rahul’s platform at Bloomberg processes 20M+ events per day and implements innovations like LLM-as-a-judge, agent-as-a-judge scoring, multi-step agent tracing, and regression detection to move beyond static eval datasets. He blends deep engineering roots in cloud and performance from Azure with product leadership, enabling tight collaboration across research, data science, UX, and engineering. A founder who has shipped products end-to-end, he is particularly interested in using agents as simulated clients to test real task outcomes—a practical approach that few teams operationalize at scale. Based in New York, he brings 11 years of experience turning AI research into auditable, production-ready systems.
11 years of coding experience
7 years of employment as a software developer
Science, Science at Delhi Public School, Gurgaon
Stanford Continuing Studies
The University of Hong Kong (HKU)
Bachelor of Engineering - Internship Program Software Engineering, Bachelor of Engineering - Internship Program Software Engineering at McGill University
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Rahul Amlekar - Senior Product Manager at Bloomberg