Summary
Tript Sharma is a Deep Learning Engineer in the San Francisco Bay Area with nine years of experience bridging computer vision, robotic manipulation, and 3D perception. He has applied both classical 3D geometry and state-of-the-art neural methods—SfM, NeRFs, multi-view reconstruction, and visual-inertial odometry—across industry and research, most recently joining NVIDIA after a PoC internship on end-to-end road-scene perception. Tript has a track record of shipping practical systems that reduce cycle times and scale (e.g., a multi-camera pose estimation pipeline that cut pick-and-place latency by 12.5%), and he builds tooling for others to experiment with neural rendering (CognitiveStudio / NeRFNet). Comfortable with full-stack robotics stacks from embedded controllers to cloud teleoperation, he combines rigorous academic training (MS Robotics, WPI) with hands-on product development and an appetite for making advanced perception accessible.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Robotics Engineering, Master of Science - MS Robotics Engineering at Worcester Polytechnic Institute
Science, Science at Maharaja Agrasen Model School
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Delhi College of Engineering
English, hiindi