Thomas Fork

Senior Software Engineer at Overland AI

Seattle, Washington, United States
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Summary

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Senior
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Thomas Fork is a Senior Software Engineer in Seattle with a PhD in Mechanical Engineering from UC Berkeley and five years of hands-on experience building control and testing systems that bridge theory and production. His doctoral work produced a novel, generalizable framework for extending vehicle models to 3D road surfaces, moving geometric control theory into practical planning and control pipelines. He has applied that interdisciplinary mindset across roles from hardware test engineering for ML servers to R&D on medical sensors and advanced 3D printing materials. At Overland AI he focuses on shipping robust systems that integrate physics-based models with software engineering best practices. Known for reducing deep theoretical results to working prototypes, he brings both rigorous modeling and pragmatic implementation skills to problems that span sensors, controls, and hardware-in-the-loop testing. Colleagues describe him as a fast learner who enjoys tackling problems that require broad technical fluency and careful experimental validation.
code5 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of California, Berkeley
bookBachelor’s Degree, Mechanical Engineering, 4.00, Bachelor’s Degree, Mechanical Engineering, 4.00 at University of California, Santa Barbara
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29reached
0answers
1question
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Github Skills (24)

nonlinear6
matlab6
function-call6
octave6
parameter-estimation5
mathematics4
code-generation4
sparse4
python4
matrix4
self-contained4
conflict-resolution4
optimization4
ipopt3
reinforcement-learning3

Programming languages (2)

C++Python

Github contributions (5)

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thomasfork/MEC231A_project

Nov 2020 - Dec 2020

Contributions:40 commits, 34 pushes, 1 branch in 1 month
Contributions:8 commits, 16 pushes in 15 days
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Thomas Fork - Senior Software Engineer at Overland AI