Jonathan Kuck
Member Of Technical Staff at OpenAI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Kuck is a Member of Technical Staff at OpenAI with a decade of experience building AI-driven perception and robotics systems. He led R&D at Dexterity, developing packing algorithms that combined ML, optimization, computational geometry, and physics simulation to drive measurable customer adoption. A Stanford PhD candidate in computer science, his research focused on probabilistic inference and learning on graphs and sets, bridging theory and real-world robotic perception. He has practical self-driving perception experience from an internship at Lyft and a strong physics background from an Engineering Physics BS at UIUC. Jonathan’s work tends to live at the intersection of principled probabilistic methods and production-grade robotics, with a track record of shipping algorithms that translate into customer-facing metrics. Based in Palo Alto, he brings both academic rigor and applied systems engineering to large-scale AI robotics problems.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree Engineering Physics, Bachelor's degree Engineering Physics at 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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