Lockheed Martin
Javier Garza is an Associate Fellow and Autonomy, Artificial Intelligence (AI) & Machine Learning (ML) Engineering Program Manager at Lockheed Martin Skunk Works®. Mr. Garza leads the Advanced Sensing AI Portfolio, and his work focuses on architecture, development, integration, testing, and deployment of machine learning algorithms into military platforms. He has more than fourteen years of experience in software engineering, open architecture technologies, flight test, and technical leadership. Mr. Garza has worked on Defense Advanced Research Project Agency (DARPA) programs such as System of Systems Integration, Technology, and Experimentation (SoSITE) and Target Recognition and Adaption in Contested Environments (TRACE). Additionally, he has worked on several Internal Research and Development projects at Lockheed Martin and NASA Mission Control Center (MCC) software modernization projects. Mr. Garza holds a bachelor’s degree in Computer Science, a master’s degree in Software Engineering from the University of Texas at El Paso, and a Doctor of Engineering in Artificial Intelligence and Machine Learning from The George Washington University.