Tript Sharma

Deep Learning Engineer at NVIDIA

San Francisco Bay Area United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS Robotics Engineering, Master of Science - MS Robotics Engineering at Worcester Polytechnic Institute
bookScience, Science at Maharaja Agrasen Model School
bookBachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Delhi College of Engineering
languagesEnglish, hiindi
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Github Skills (63)

3d-reconstruction10
photogrammetry9
3d-graphics9
3d9
cpp8
computer-vision8
data-structures8
queue8
spotify8
php8
machine-learning8
vector8
java8
stl-algorithms8
algorithms8

Programming languages (6)

C++JavaScriptJupyter NotebookCythonPythonDart

Github contributions (5)

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TriptSharma/mlpiv

Apr 2019 - Jul 2019

Contributions:5 commits in 3 months
TriptSharma/Halanx

Jan 2017 - Feb 2017

Contributions:4 commits, 1 push, 1 branch in 27 days
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