Ravi Magham
Lyft
San Francisco, California, United States
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Staff Software engineer leading streaming and feature store platform at Lyft.
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Feature Store and Embedding Store: Better Together - Lyft's Journey
At Lyft, we've discovered the power of combining our Feature Store with an Embedding Store to enhance our machine learning capabilities. This talk will explore our journey in integrating embeddings into our existing Feature Service infrastructure, highlighting the synergies, benefits we've uncovered along the way and share insights on how this integration has empowered our ML practitioners to build more sophisticated models.
Realtime Forecasting using Beam @ Lyft
In this session, I'll share how Lyft uses Beam's portability framework with Flink execution-engine for real-time demand and supply forecasting
Beam Summit 2024 Sessionize Event
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