
Nishant Rai
Currently a Tech Lead in the Perception team at Waymo. Teaching robots how to understand the most complex... | San Francisco Bay Area, San Francisco Bay Area, United States
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Nishant Rai’s Emails nr****@wa****.com
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Nishant Rai’s Location San Francisco Bay Area, San Francisco Bay Area, United States
Nishant Rai’s Expertise Currently a Tech Lead in the Perception team at Waymo. Teaching robots how to understand the most complex agents on roads - humans! I was fortunate to have my time at Stanford funded through research and course appointments. While there, I served as a research assistant in the Stanford Vision and Learning Lab. Before Stanford, I completed my undergrad in CS at IIT Kanpur, graduating top of my class with distinction. Having a soft spot for startups, I've navigated through roles at Nuro, Fyusion, Rubrik, and more. I am broadly interested in Computer Vision and Deep Learning applications. While my journey in the field began with a focus on Multi-Modal Learning, it branched into Video Understanding and Self-Supervised Learning, and has recently expanded into Foundation Vision-Language Models. Beyond my professional pursuits, I am a passionate sports enthusiast along with a love for skiing and diving. In quieter moments, I find solace in writing, sketching and immersing myself in books.
Nishant Rai’s Current Industry Waymo
Nishant
Rai’s Prior Industry
Inria
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Parc A Xerox
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The University Of British Columbia
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Two Roads Tech
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Rubrik
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Fyusion
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Stanford University
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Nuro
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Waymo
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Work Experience

Waymo
Tech Lead at Perception
Thu Jul 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Stanford University
Course Assistant - CS231N
Thu Apr 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Jun 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Nuro
Perception - ML Intern
Mon Jun 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Sep 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Stanford University
Course Assistant - CS231N
Wed Apr 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Jun 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Stanford University
Research Assistant - Vision and Learning Lab
Sun Sep 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Jun 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Stanford University
MS in Computer Science
Sun Sep 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Jun 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Stanford University
Course Assistant - CS145
Sun Sep 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Dec 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Fyusion
ML Research Intern
Sat Jun 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Sep 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Rubrik
Software Engineer
Sat Jul 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jun 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Two Roads Tech
Quantitative Trading Intern
Mon May 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jul 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
The University Of British Columbia
Research Intern
Sun May 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jul 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time)
Parc A Xerox
ML Research Intern
Sun Nov 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Dec 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time)
Inria
Summer Research Intern
Fri May 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Jul 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time)