Matt Molinare is a software engineer and algorithm scientist with nine years of experience applying machine learning, computer vision, DSP, and physics-based modeling to remote sensing and national-security applications. He holds an M.S. in Computer Science with a machine learning specialization from Georgia Tech and has built state-of-the-art CNNs for one-shot detection on wide-area SAR imagery while mitigating domain bias with self-supervision and radar phenomenology. His background blends real-time navigation and synthetic image generation for GPS-denied environments with hands-on signal processing work like compressed sensing and MTI for SAR. Based in Los Angeles, he moves fluidly between first-principles physics analyses and production software, uniquely pairing experimental lab experience (from fluid dynamics and microbiology imaging) with deployed ML systems.
9 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Contributions:2 PRs, 45 pushes, 4 branches in 2 years 4 months
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Matt Molinare - Software Engineer at Voyager Technologies