Summary
Piyush Patil is a Research Engineer with a decade of experience applying deep learning to real-world problems, currently working on cutting-edge AI at DeepMind in the New York City area. His background spans research and product roles across Google’s moonshot teams, autonomous vehicle perception and planning at Nuro, and a founder/CTO stint building search tools for knowledge workers. He holds dual undergraduate degrees from UC Berkeley and an MS in Machine Learning from Georgia Tech, blending strong mathematical foundations with hands-on systems experience. Piyush has contributed to high-impact academic and competitive projects— from Berkeley’s autonomous vehicle initiatives to an Alexa Prize conversational AI team that secured a six-figure research grant—demonstrating both research rigor and product drive. Known for moving models from prototype to applied settings, he combines curiosity about large language models with practical engineering that scales.
10 years of coding experience
6 years of employment as a software developer
B.A. Mathematics, B.S. Electrical Engineering and Computer Science, B.A. Mathematics, B.S. Electrical Engineering and Computer Science at University of California, Berkeley
M.S. Computer Science, Machine learning, M.S. Computer Science, Machine learning at Georgia Institute of Technology
Dougherty Valley High School
English, Marathi, Spanish