Nishant Rai
Member Of Technical Staff at OpenAI
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolNishant Rai is an applied researcher and engineer with 12 years of experience building multimodal AI and perception systems, currently a Member of Technical Staff at OpenAI working on making models useful in real-world settings. He previously led perception research at Waymo, developing multi-modal foundation models and teaching vehicles to reason about complex human behavior on the road. A Stanford MS (Distinction in Research) with a strong academic-research background in self-supervised and multi-modal learning, he has collaborated with industry labs like Toyota Research Institute and Panasonic. Earlier roles span production engineering at Rubrik and hands-on ML research internships in robotics, 3D reconstruction, and graph algorithms, reflecting a rare blend of systems-level product impact and deep algorithmic work. Based in Palo Alto, he brings both production performance wins (e.g., parallelizing cloud upload pipelines) and published research on weak supervision and multi-view learning to large-scale ML problems.
12 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology KanpurMasters with Distinction in Research Computer Science, Masters with Distinction in Research Computer Science at Stanford University
English, Hindi
Github Skills (16)
contrastive-learning8
visualization5
machine-learning4
poc4
analytics4
cycle3
react3
autoencoder2
surface2
operating-system2
geometric2
opc2
consistency2
geo2
zephyr1
Programming languages (3)
Github contributions (5)
nishantrai18/cvThemes
Dec 2015 - Apr 2020
Contributions:14 pushes, 1 branch in 4 years 4 months
nishantrai18/cocon
Sep 2020 - Jul 2022
CoCon: Cooperative Contrastive Learning
Contributions:9 commits, 1 PR, 4 pushes in 1 year 10 months
contrastive-learningmachine-learningcontrastivecooperative
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