Arjun Karpur
Head Of Machine Learning at Epsilon Health
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolArjun Karpur is a Head of Machine Learning based in San Francisco with 11 years of experience building production-grade computer vision and ML systems across industry and research. He transitioned from research roles at Google Research and DeepMind—where he focused on image understanding and mobile vision—to leading ML at a venture-backed health startup, blending deep technical expertise with product-driven deployment. With an MS and BS from UT Austin and early research work that contributed to ECCV publications, he brings a strong foundation in 2D/3D vision, pose and keypoint estimation, and reconstruction. His background spans end-to-end engineering from prototype Android apps and automated test tooling to large-scale image understanding models, and he has a patent-backed history of shipping novel proof-of-concepts. Colleagues describe him as a pragmatic researcher-engineer who regularly bridges cutting-edge research and real-world clinical and consumer applications.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at The University of Texas at AustinHigh School, High School at Mountain Pointe High School
English, Spanish
Github Skills (7)
image-matching10
libigl9
collision-detection8
tensorflow8
mesh-processing7
cpp5
evaluation2
Programming languages (3)
Github contributions (5)
arjunkarpur/view-consistency-shape-gen
Apr 2018 - Sep 2018
Contributions:69 commits, 1 push in 4 months
arjunkarpur/triangle-mesh-collision
Dec 2016 - Jan 2017
Self-collision detection for triangles meshes (C++, libigl, eigen)
Contributions:46 commits, 37 pushes, 3 branches in 5 days
collision-detectioncpplibiglgraphicsmesh-processing
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