Lead Scientist In Sentient Systems Directorate
CurrentContribute to technical excellence by providing leadership for machine learning, signal processing, radar, and electronic warfare programs. Bridging the gap between technical teams and customers by facilitating clear dialogue. Optimize budget and staffing allocations for on-time and on-budget execution of programs. Lead capture efforts and proposal writing for new opportunities. • AI/ML Testing and Prototyping Boston Fusion Engine: Lead a team of 6 engineers developing a versatile machine learning testing and training framework indifferent to sensors and algorithms—a software platform designed to support numerous ongoing projects and hasten the evaluation of future machine learning pipeline ideas. Tools: python, PyTorch, TensorFlow, MLFlow, virtual machines, Docker, git Algorithms: ResNet, U-Net, boosted tree classifiers, neural networks, transformers • Signal Decluttering and Anomaly Detection: Benchmarked state-of-the-art radar signal detection and decluttering algorithms for comparison with prototyped ML methods. Demonstrated improved detection performance with reduced false alarms, improving system utilization by reducing time spent investigating false detections. Algorithms: cell averaging-constant false alarm rate, Seq-U-Net, TranAD, GANs