Ryan Holben
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRyan Holben is a deep learning engineer at NVIDIA with 11 years’ experience applying ML and planning algorithms to autonomous vehicles, building end-to-end driving systems after a long career in self-driving since 2016. He holds a Ph.D. in set theory from UC Irvine and previously taught university mathematics, bringing unusual mathematical rigor to applied robotics and model design. Ryan blends research-grade thinking with production engineering, pairing state-of-the-art deep learning work for E2E autonomy with an ongoing, light research practice in mathematics. Based in Seattle, he balances technical curiosity with creative pursuits—photography, piano, climbing, snowboarding, and espresso—that inform a pragmatic, design-minded approach to complex problems.
11 years of coding experience
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Colby CollegeUniversity of California, Irvine
Github Skills (13)
robotics6
ros6
rosbag5
javascript4
visualization4
json-api3
typescript3
jekyll3
debugging3
jekyll-theme3
electron3
html2
mobile-first1
Programming languages (2)
Github contributions (5)
Ryan-Holben/ryan-holben.github.io
Jun 2016 - Oct 2016
Contributions:317 pushes, 4 branches in 3 months
beautiful-jekylljekylljekyll-thememobile-firstbeautiful-jekyll-theme
Ryan-Holben/Ryan-Holben.github.io
Jan 2016 - Jun 2016
Contributions:214 pushes in 4 months
jekylljekyll-theme
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