Summary
Michael Romano is a Machine Learning Engineer with 11 years of interdisciplinary experience bridging mechanical and systems engineering in military, avionics, and industrial contexts. He brings deep hands-on expertise in ruggedized hardware design, thermal and structural CFD analysis, and MIL-STD compliance from roles at Kontron, General Atomics, and APLabs, and has transitioned that practical engineering rigor into machine learning and neuroscience applications. Known for turning complex requirements into producible, testable designs, he pairs strong CAD and simulation skills with systems-level thinking to reduce risk and speed time-to-production. Based in California, Michael blends domain knowledge in radiology and neuroscience with ML interests—a combination that hints at work applying data-driven methods to imaging and embedded systems.
11 years of coding experience
13 years of employment as a software developer
San Diego State University