Saurabh Nair

Applied Scientist at Wayve

San Francisco, California, United States
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Summary

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Senior
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Top School
Saurabh Nair is an applied scientist in San Francisco with 11 years of experience building embodied AI and robotics systems that bridge perception, planning, and control. He has shipped production robot pipelines and sensor-calibration tooling at Vicarious, developed NeRF and pose-tracking systems at Giant.AI, and today works on foundation models for embodied agents at Wayve. His background spans low-level systems engineering (ASR router firmware and automation at Cisco) to cutting-edge research in NeRFs, visual servoing, and sample-efficient depth supervision. Comfortable with both bits and atoms, he combines principled analysis with hands-on implementation across ROS, SLAM, reinforcement learning, and differentiable graphics. An unusual throughline in his work is turning research ideas into robust, deployable pipelines—evident from patent-pending placement methods and end-to-end camera calibration demos. He’s also pursuing a playful hardware goal on GitHub: building a robot that can “pass the butter,” reflecting a focus on practical, human-centric manipulation.
code11 years of coding experience
job7 years of employment as a software developer
bookBachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at Veermata Jijabai Technological Institute (VJTI)
bookMaster of Science - MS, Robotic-Systems Development, Master of Science - MS, Robotic-Systems Development at Carnegie Mellon University
languagesEnglish, Hindi, Malayalam, Marathi
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Github Skills (64)

scale10
weak-supervision10
speech10
orb10
slam-algorithms10
radiance9
large-scale9
machine-learning9
computer-graphics9
ai9
3d-reconstruction9
speech-recognition9
function-approximation9
descriptor9
open3d8

Programming languages (5)

JavaC++Jupyter NotebookPythonCuda

Github contributions (5)

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GiantAI/pixtrack

Jul 2022 - Sep 2022

PixTrack is a Computer Vision method for Object Tracking which uses NeRF templates and feature-metric alignment to robustly track the 6DoF pose of a known object.
Contributions:5 reviews, 34 commits, 16 PRs in 1 month
vision6dof6dof-poseobject-detectioncomputer-vision
saunair/project_pegasus

Dec 2020 - Jul 2022

Contributions:110 commits, 70 pushes in 1 year 7 months
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