Jonathan Kuck
Member Of Technical Staff at OpenAI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Kuck is a software engineer and Member of Technical Staff at OpenAI with 10 years of experience bridging probabilistic inference research and production ML systems. He earned a PhD in computer science from Stanford focused on probabilistic inference, learning on graphs/sets, and perception, then led R&D at Dexterity building physics-aware packing, optimization, and computational geometry algorithms that measurably improved customer metrics. His engineering physics background (UIUC) and time on Lyft’s self-driving perception team give him a rare blend of rigorous theory, simulation-driven development, and hands-on production deployment. He maintains a technical portfolio at jkuck.github.io and is adept at translating academic ideas into practical robotics solutions.
10 years of coding experience
10 years of employment as a software developer
University of Illinois Urbana-ChampaignDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Github Skills (34)
visualization10
open3d10
rendering10
volume-rendering10
odometry10
computer-graphics10
cuda10
cpp10
mesh-processing10
geometric-deep-learning9
pytorch9
python9
cluster-computing9
machine-learning9
graph9
Programming languages (3)
Github contributions (5)
ermongroup/permanent_adaptive
Sep 2018 - Jul 2020
Contributions:52 commits, 12 pushes in 1 year 10 months
ermongroup/rbpf_fireworks
Feb 2017 - Nov 2018
Contributions:143 commits, 79 pushes, 1 branch in 1 year 10 months
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