Summary
Michael Rinehart is a senior AI and data-science leader with 11 years of experience building machine-learning and optimization solutions across cybersecurity, communications, medical devices, and automotive systems. As Vice President of Artificial Intelligence at Securiti and former Chief Scientist for Symantec’s CloudSOC, he has delivered production anomaly-detection, DLP, and automation systems that combine behavioral modeling, computational linguistics, and continuous learning. His background blends deep academic rigor (Ph.D. from MIT) with hands-on systems engineering—designing both component-level algorithms and system-wide coordination for real-time, high-throughput environments. He has led DARPA- and NSF-backed research programs and co-founded a bio-impedance startup, applying novel convex-splitting techniques and electrode designs to improve muscle-quality measurement. Known for turning constrained training data into high-precision detectors, he thrives at the intersection of research and productization, especially where complex physical models inform data-driven solutions. Based in San Jose, he pairs cross-disciplinary curiosity (health/biotech, crypto, finance interests) with a track record of shipping robust, enterprise-grade AI systems.
11 years of coding experience
9 years of employment as a software developer
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at Massachusetts Institute of Technology
B.S., Electrical and Computer Engineering (concentration in Computer Science), B.S., Electrical and Computer Engineering (concentration in Computer Science) at University of Maryland