Greg Zdor

Greg Zdor is a skilled Machine Learning Systems Engineer specializing in radio frequency ML solutions. His technical background includes writing Python and MATLAB code for signal processing, data labeling, and growth. He deploys RF dataset tools to create large-scale datasets for training various ML models. Greg is proficient in Linux, Slurm cluster computing, AWS S3, and EC2 tools. He has expertise in ELINT, SIGINT, and wireless communications, particularly in drone technologies. Passionate about quality ML data, Greg excels in RF signal environment simulations and data augmentation. He is experienced in RADAR track features, IQ, and spectrogram images. Greg is adept at setting up RF transceiver systems such as National Instrument's USRP. Continuously learning, he has completed continuing education classes in DSP, Wireless Comms, C/C++, Radar Theory, and Reinforcement Learning. Greg is part of SRC's STELR Program, focusing on different ML projects and domains to advance his skills. His educational background includes a Bachelor's degree in Engineering from Andrews University. Greg has held positions at SRC as Machine Learning Systems Engineer and previously as Electronic Warfare Electrical Engineer. He also has experience in physics research, electronics repair, and teaching assistant roles at Andrews University and various outdoor instructor positions.