Shreyash Patodia is a founder and software engineer with a decade of experience bridging cutting-edge ML research and production systems across academia, startups and large tech. He has driven measurable impact—from doubling autonomous driving model performance at Wayve to improving semantic parsing models at Google—and has applied ML to domains spanning crypto infra, operating systems and cybersecurity. A visiting researcher with top ML groups and multiple research roles at the University of Melbourne and Data61, he blends strong theoretical interests (graphs, constraint programming, operations research) with hands-on infra and smart-contract work at Chevron Research. Now leading a stealth startup from London while studying Computer Science and Mathematics, he brings both entrepreneurial grit and deep technical breadth. Notably, his trajectory shows a pattern of moving from principled academic problems to high-stakes production challenges, often turning research insights into deployable systems.
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