Summary
Jeffrey Egan is a senior scientist and systems engineer with over a decade of experience applying machine learning and statistical analysis to cognitive radar, electronic warfare, and wireless communications for defense and intelligence customers. He has progressed through leadership and principal roles at BAE Systems and Raytheon, blending hands-on modeling, simulation, and algorithm development with systems- and program-level engineering across fast-paced R&D teams. Jeffrey’s work sits at the intersection of electromagnetic spectrum operations and AI, with practical expertise deploying signal-processing and deep learning techniques on edge and spectral-AI problems. Based in Boston, he pairs an M.S. in Electrical & Computer Engineering with a background in systems engineering and a history of turning research prototypes into operational capabilities. An uncommon thread in his career is sustained cross-organizational influence—moving between internal R&D, rapid capability groups, and advanced sensor programs while continuously integrating ML into RF and SIGINT domains.
10 years of coding experience
15 years of employment as a software developer
The University of Arizona
M.S. Electrical & Computer Engineering, M.S. Electrical & Computer Engineering at Worcester Polytechnic Institute