Kyle Julian
Guidance, Navigation, And Control Software Engineer
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolKyle Julian is a Guidance, Navigation, and Control software engineer with a decade of experience bridging advanced research and production aerospace systems. He holds a PhD from Stanford and has applied ML, neural network verification, and classical control methods to aircraft guidance both in academia and industry. Currently at Wing, he builds flight-critical software informed by internships and research at NASA Ames, Boeing, Lockheed Martin, and Honda Aircraft. His background includes trajectory analysis and primary control law development, giving him a rare combination of theoretical rigor and hands-on flight systems engineering. Based in Palo Alto, he excels at turning provable control and verification techniques into deployable guidance solutions. Colleagues rely on him for translating cutting-edge research into reliable, safety-focused airborne software.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Aerospace Engineering, 3.94, Bachelor of Science (B.S.), Aerospace Engineering, 3.94 at Georgia Institute of TechnologyMaster's degree, Aeronautics and Astronautics, Master's degree, Aeronautics and Astronautics at Stanford University
Github Skills (10)
octomap9
relu9
3d-mapping7
neural-network5
latex4
security4
clock3
pgfplots2
alarm2
deep-neural-networks1
Programming languages (7)
Github contributions (5)
sisl/NNet
Aug 2018 - Mar 2020
Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.
Contributions:63 commits, 5 PRs, 57 pushes in 1 year 7 months
neural-networkrelu
sisl/VerticalCAS
Nov 2018 - Sep 2020
Contributions:10 commits, 1 PR, 5 pushes in 1 year 9 months
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