Nishit Asnani is a founder and growth leader with 11 years of experience building ML-driven products that turn complex AI research into practical, revenue-generating tools. As co-founder of Sybill he combines behavior AI and generative models to create a JARVIS-like sales assistant that auto-summarizes calls, updates CRMs, and executes follow-ups—saving reps time while improving pitch effectiveness. A Stanford CS MS graduate and former SAIL researcher, he has published applied ML work (including an NPR-highlighted Nature Digital Medicine project) and taught NLP and ML courses. He blends hands-on engineering and product instincts from roles at Moveworks and early startups, and uniquely frames great technology as poetry—striving for solutions that are both elegant and human.
10 years of coding experience
2 years of employment as a software developer
Campion School
Indian Institute of Technology Kanpur
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
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