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Anoop leads applied science for AWS's Agentic AI unit, building autonomous agents for both business productivity and software development. In this episode, he traces his path from speech recognition research to leading AWS Transform and Kiro, AWS's coding agent.
He digs into how agents learn organizational conventions without being explicitly taught, why memory management is one of the hardest unsolved problems in agentic AI, and why the next frontier is proactive, not just reactive, agents. Also: lessons from Netflix and Microsoft on personalization, and why code review (not writing code) is now the real bottleneck.
Anoop is joined by @Scale Podcast host, Francois Richard — Engineering Director responsible for the Reliability Infra at Meta.
Want to join sessions like this in person?
Register for our in-person and virtual events on our website: atscaleconference.com
By Francois RichardAnoop leads applied science for AWS's Agentic AI unit, building autonomous agents for both business productivity and software development. In this episode, he traces his path from speech recognition research to leading AWS Transform and Kiro, AWS's coding agent.
He digs into how agents learn organizational conventions without being explicitly taught, why memory management is one of the hardest unsolved problems in agentic AI, and why the next frontier is proactive, not just reactive, agents. Also: lessons from Netflix and Microsoft on personalization, and why code review (not writing code) is now the real bottleneck.
Anoop is joined by @Scale Podcast host, Francois Richard — Engineering Director responsible for the Reliability Infra at Meta.
Want to join sessions like this in person?
Register for our in-person and virtual events on our website: atscaleconference.com