Matthew Conrad is a software development engineer and machine learning researcher with 11 years of experience building secure, real-time systems and interpretable AI. He blends production engineering—designing MPC-backed trading infrastructure and sub-millisecond networking at scale—with academic work on model interpretability and human trust, including CSCW/CHI publications and large user studies. Comfortable across Python, PyTorch/Keras, SHAP/GAMs, and distributed backends, he moves ideas from prototype to hardened deployments. A former Marine Corps cyber operator, he brings disciplined operational security and incident-hardened practices to ML and backend systems. Currently based in San Francisco, he is pursuing an M.S. in Computer Science (Machine Learning) at Georgia Tech while engineering at Amazon.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Michigan
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Computer Software Engineering, Computer Software Engineering at Arizona State University
Contributions:33 commits, 74 pushes, 19 branches in 2 months
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Matthew Conrad - Software Development Engineer at Amazon