Mar 15–18, 2020
Sherin Thomas

Sherin Thomas
Software Engineer, Lyft


Sherin Thomas is a software engineer at Lyft. In her career, spanning eight years, she’s worked on most parts of the tech stack, but enjoys the challenges in data science and machine learning the most. Most recently she’s been focused on building products that facilitate advances in artificial intelligence and machine learning through streaming. She’s passionate about getting more people, especially women, interested in this field and has been trying her best to share her work with the community through tech talks and panel discussions. Most recently she gave a talk about machine learning infra and streaming at Beam Summit and Flink Forward in Berlin. In her free time she loves to read and paint. She’s also the president of the Russian Hill book club based in San Francisco and loves to organize events for her local library.


12:00pm12:30pm Monday, March 16, 2020
Location: LL20A
Sherin Thomas (Lyft)
In the world of ride-sharing, decisions such as matching a passenger to the nearest driver, pricing, ETA, etc. need to be made in real time, making it imperative to build the most up-to-date view of the world. However, gleaning information from high-volume streaming data is tricky, and often solutions are hard to use. Sherin Thomas explains how Lyft attempted to solve this problem with Flink. Read more.

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