Sahil Chopra is a founder and machine-learning product builder with 11 years of experience, currently co-leading Linum (YC W23) to commercialize generative video models that let users "type text, dream video." He brings a rare blend of academic research—building language-based learning agents at Stanford—and enterprise product delivery from McKinsey, where he co-led cloud-native AI B2B SaaS builds for $5B+ clients. Prior startups and internships across Facebook, Yelp, and LightStep sharpened his hands-on ML, vision, and distributed-systems chops. He also taught and authored PyTorch assignments for Stanford's flagship NLP course, linking deep technical depth to practical pedagogy. Based in the Bay Area, Sahil combines practical product instincts with research rigor and a track record of iterating quickly across nascent AI markets. A less obvious strength: he repeatedly moves between teaching, research, consulting, and founding roles, which helps him translate state-of-the-art models into usable product workflows.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Stanford University
Contributions:4 PRs, 364 pushes, 4 branches in 1 year 4 months
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