Rajat Shah

Speaker: Rajat Shah

Staff Software Engineer @Netflix

Rajat is a Staff Software Engineer at Netflix, leading the technical architecture for the ML Model Serving Infrastructure. With around a decade at Netflix and Amazon, he has specialized in building highly available distributed systems and stable, usable ML platforms that power recommender systems, search, and payments at scale. A recipient of Amazon's prestigious "Just Do It" Award from Jeff Bezos for his bias for action, Rajat excels at abstracting the complexities of distributed computing to drive developer velocity and platform reliability. He holds a Master's in Computer Science from North Carolina State University, blending deep theoretical knowledge with a proven track record of solving massive-scale infrastructure challenges.

Session

Failing in Layers: Lessons from Rebuilding Netflix's ML Serving Platform

Everyone talks about model quality. Fewer people talk about what happens when that model has to serve real traffic without falling over, or why the system ended up shaped the way it did in the first place.

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Date

Tuesday Nov 17 / 05:05PM PST ( 50 minutes )

Location

Ballroom A

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