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Galileo – Principles for Building High Quality Models using High Quality Data at Scale

Posted Sep 29
# datacentricaisummit2022
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SPEAKER
Atindriyo Sanyal
Atindriyo Sanyal
Atindriyo Sanyal
CTO and Founder @ Galileo

Atindriyo is the founder and CTO of the San Francisco based Machine Learning company, Galileo. Prior to Galileo, he has spent 10+ years building large scale ML platforms at Uber and Apple. Formerly, he was a Staff Software Engineer and Tech Lead on Uber's Michelangelo ML platform and a co-architect of the first Feature Store - Michelangelo.

His work scaled the Uber's Feature Store to serve 20000+ ML Features across all of Uber Machine Learning. He led ML Data Quality efforts for Uber. The solutions and tooling his team built improved the production performance of over 10000 models powering Uber's ML. Later on, his work with the Stanford AI Lab conceptualized Embedding Stores - a Feature Platform for managing and serving time sensitive entity embeddings to downstream ML models.

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Atindriyo is the founder and CTO of the San Francisco based Machine Learning company, Galileo. Prior to Galileo, he has spent 10+ years building large scale ML platforms at Uber and Apple. Formerly, he was a Staff Software Engineer and Tech Lead on Uber's Michelangelo ML platform and a co-architect of the first Feature Store - Michelangelo.

His work scaled the Uber's Feature Store to serve 20000+ ML Features across all of Uber Machine Learning. He led ML Data Quality efforts for Uber. The solutions and tooling his team built improved the production performance of over 10000 models powering Uber's ML. Later on, his work with the Stanford AI Lab conceptualized Embedding Stores - a Feature Platform for managing and serving time sensitive entity embeddings to downstream ML models.

+ Read More

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