Michael Toth

Michael Toth is a highly experienced engineer specializing in machine learning and software development, currently serving as a Machine Learning Engineer at Rebellion Defense since September 2021. Key accomplishments include implementing vehicle and gun detection algorithms using PyTorch, creating semi-supervised learning workflows, and designing Bayesian-based trajectory prediction models for tracking software. Prior roles include Applied Research Engineer and Senior Software Engineer at Rebellion Defense, Senior Software Engineer in RF Signal Processing at Raytheon Missiles & Defense, and Lead Systems Analyst at the Naval Surface Warfare Center. Michael holds a Bachelor of Science in Electrical and Electronics Engineering from the University of Michigan, along with multiple Master of Science degrees in the same field from California State University, Fullerton, and additional studies in Applied Statistics at the University of California, Riverside.