Chris Gundling
Engineering at Applied Intuition
Redwood City, California, United States
Summary
👤
Senior🎓
Top SchoolChris Gundling is an engineering leader with 10 years of experience specializing in computational physics simulations and autonomous vehicle systems, currently working at Applied Intuition and a senior engineering manager at a Series D startup. He combines deep technical skills in Python, C#, and C++ with hands-on sensor modeling, physical test validation, and simulation architecture for energy and automotive applications. His background spans academia (PhD in Mechanical Engineering) and industry roles at Aptiv, Northrop Grumman, and Udacity, where he built persistent simulation worlds and racing-grade deep learning steering solutions. Chris is actively exploring deep learning and self-driving projects on GitHub, applying research-grade simulation to real-world validation challenges. Colleagues rely on him to translate complex physics and sensor models into production-ready software that accelerates autonomous systems development.
10 years of coding experience
7 years of employment as a software developer
University of California San DiegoM.S., Mechanical Engineering, M.S., Mechanical Engineering at Georgia Institute of TechnologyPhD, Mechanical Engineering, PhD, Mechanical Engineering at University of WyomingJapanese Language, Japanese Language at San Mateo Community College
Github Skills (6)
self-driving-car7
machine-learning7
autonomous-vehicles6
unreal3
procedural3
mesh2
Programming languages (2)
Github contributions (5)
chrisgundling/Udacity-P4-AdvancedLaneLines
Feb 2017 - Feb 2017
Contributions:87 commits, 86 pushes, 1 branch in 2 days
chrisgundling/YoloLight
Apr 2017 - Dec 2017
Contributions:59 commits, 58 pushes, 1 branch in 8 months
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