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.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at Veermata Jijabai Technological Institute (VJTI)
Master of Science - MS, Robotic-Systems Development, Master of Science - MS, Robotic-Systems Development at Carnegie Mellon University
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
Contributions:110 commits, 70 pushes in 1 year 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.