Krunal Shah is a software engineer with nine years of experience building multimodal and ML-driven user experiences, currently developing web agents at Yutori after roles across Google and DeepMind. He helped design collaborative Gemini Canvas features and adapted Gemini models for the Gemini App, and earlier contributed to Google Assistant innovations including the Look and Talk launch at Google I/O '22. Krunal combines a rigorous research background—an MSE from UPenn (4.0 GPA) where he studied reasoning in NLU with Prof. Dan Roth—with hands-on product engineering from internships and research at IIT Delhi. He thrives at the intersection of algorithms and product, enjoying hard systems problems that translate research ideas into deployable features. Based in San Francisco, he brings a blend of academic depth and fast-paced product delivery in conversational AI and multimodal systems.
9 years of coding experience
4 years of employment as a software developer
B.Eng, Computer Engineering, B.Eng, Computer Engineering at North Maharastra University
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