Rafael Turner is a mathematician-turned-software engineer with 13 years of experience applying advanced math and machine learning to hard problems in digital signal processing, binary reverse engineering, and physical-layer black-box analysis. He has led AI teams and shipped production ML systems across domains including SAR, acoustics, NLP, CV, and multi-object tracking, and has deep experience translating research into operational solutions for defense and commercial customers. His background spans academic Ph.D. training and hands-on roles from embedded SDR development in the US Army to senior engineering and director-level AI leadership in industry. Rafael combines formal methods and probabilistic modeling—evident from past work improving control-flow recovery and Bayesian models for malware—with practical software delivery and field deployments. He frequently bridges research and product, writing technical proposals and working directly with end users to ensure solutions meet operational needs.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science - Computer Science, Computer Science, Bachelor of Science - Computer Science, Computer Science at University of Chicago
Master of Science - Mathematics, Mathematics, Master of Science - Mathematics, Mathematics at George Mason University
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