Scott Czopek
AI ML Radar And Signals Engineer at Raytheon
Long Beach, California, United States
Summary
👤
Senior🎓
Top SchoolScott Czopek is an AI/ML Radar and Signals Engineer with nine years of experience applying physics-rooted research to production modeling, simulation, and embedded algorithm design at Raytheon. With an M.S. in Physics and a background at USC and NIST, he bridges computational physics, bioinformatics, and systems-level signal processing to deliver memory- and compute-efficient ML solutions for constrained radar platforms. He supports and ships IRAD/CRAD AI/ML efforts while continuing to study computer vision in his spare time, reflecting a blend of applied research and practical engineering. Based in Long Beach, CA, Scott’s early work on timing offsets for GPS and on control software for chip-scale atomic devices signals a knack for precision engineering and self-directed problem solving that informs his current work.
9 years of coding experience
4 years of employment as a software developer
M.S., Physics, M.S., Physics at University of Southern CaliforniaB.A., Physics, Minor Math, B.A., Physics, Minor Math at University of Colorado at Boulder
Github Skills (2)
kubernetes9
python9
Programming languages (2)
Github contributions (5)
sczopek/Python-Sample__-Motif-Finding-via-Gibbs-Sampler
Apr 2017 - Mar 2018
Contributions:7 commits, 5 pushes, 2 branches in 10 months
sczopek/spaceInvadersAtariRl
Oct 2024 - Mar 2025
Contributions:53 pushes, 1 branch in 4 months
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