Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84

MLOps Coffee Sessions #84 with Ernest Chan, Lessons from Studying FAANG ML Systems.

// Abstract
Large tech companies invest in ML platforms to accelerate their ML efforts. Become better prepared to solve your own MLOps problems by learning from their technology and design decisions.

Tune in to learn about ML platform components, capabilities, and design considerations.

// Bio
Ernest is a Data Scientist at Duo Security. As part of the core team that built Duo's first ML-powered product, Duo Trust Monitor, he faced many (frustrating) MLOps problems first-hand. That led him to advocate for an ML infrastructure team to make it easier to deliver ML products at Duo. Prior to Duo, Ernest worked at an EdTech company, building data science products for higher-ed. Ernest is passionate about MLOps and using ML for social good.

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
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Connect with Ernest on LinkedIn: https://www.linkedin.com/in/ernest-chan-68245773/

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