Rishabh Singh

Founder at Stealth

San Francisco, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Rishabh Singh is a founder and AI-native builder with eight years of hands-on experience in 3D computer vision, spatial computing, and scalable AI systems, currently based in San Francisco. He has led research and product teams—from Intel Labs and autonomous vehicle SLAM to founding startups focused on cloud photogrammetry, real-time spatial collaboration, and AI recruitment—bridging deep technical R&D with go-to-market product thinking. As a core contributor to the popular Open3D library, he has improved point-cloud processing and ICP registration, demonstrating a knack for shipping robust open-source infrastructure. Rishabh’s recent ventures explore practical workflows where AI and 3D meet real customers, and he’s repeatedly pivoted technical insights into new company ideas, including work that anticipates when prosumer 3D tools will finally take off.
code8 years of coding experience
job6 years of employment as a software developer
bookBachelor of Technology Industrial Electronics, Bachelor of Technology Industrial Electronics at Indian Institute of Technology, Kharagpur
languagesEnglish, Hindi
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Github Skills (11)

c-language10
cpp10
tensorflow10
cprogramming-language10
point-cloud10
linear-algebra10
perception10
3d10
mesh-processing9
machine-learning9
python8

Programming languages (3)

C++HTMLPython

Github contributions (5)

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isl-org/Open3D

Nov 2020 - Nov 2022

Open3D: A Modern Library for 3D Data Processing
Role in this project:
userBack-end Developer
Contributions:326 reviews, 207 commits, 242 PRs in 1 year 11 months
Contributions summary:Rishabh primarily focused on implementing and improving the core functionality of the Open3D library, specifically related to point cloud processing and registration algorithms. This involved addressing build issues, improving existing code, and adding new features, such as implementing a tensor-based transform for point clouds and enhancing the capabilities of the Iterative Closest Point (ICP) registration process. The user also made contributions to the documentation and testing of these features, ensuring their correct implementation and providing examples of their usage.
python3d-perceptionodometrytensorflowpointcloud
isl-org/open3d_downloads

May 2021 - Nov 2021

Hosting Open3D test data for development use
Contributions:22 releases, 5 commits, 2 PRs in 6 months
hostingtest-datatestingcockpitopen3d
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