Yash Shah is an engineer focused on applied machine learning with nine years of experience building personalization and user-modeling systems at Google and improving ML-driven assistant quality at Glean. Trained at IIT Bombay with hands-on research in speech, NLP, and visual recognition, he has bridged academic work—accent adaptation, ASR, and morphologically-rich language modeling—with large-scale production ML for YouTube Ads and NBU products. He’s comfortable across the ML lifecycle, from feature engineering and experimentation infrastructure to deploying personalization models in production. Based in the San Francisco Bay Area, he blends deep research instincts with product-minded engineering, often translating academic insights into scalable systems. An early indicator of his practical curiosity: he has contributed to tactile 3D shape recognition research and led teaching and lab roles at IIT Bombay.
Contributions:17 commits, 7 pushes, 1 branch in 2 months
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