At AFTAC's AI Accelerator, I translate nuclear treaty monitoring, event detection, and sensor-analysis needs into AI/ML projects and operational transition plans. I analyze data sufficiency, model assumptions, and technical risk to identify feasible paths from research to operations.
I delivered and demonstrated an MLOps system for productionized deep-learning models at joint military exercises, including cloud deployment and event-based retraining from analyst-labeled data. I coordinate mission, engineering, R&D, and leadership stakeholders to move validated models into human-in-the-loop decision-support workflows.
At Florida Institute of Technology, I worked on the DIA-funded Tactical Infrasound and Seismic Event Classification program, designing machine-learning and signal-processing experiments for event detection and classification. I'm a published researcher, a named inventor on a U.S. patent application, and a Ph.D. candidate in Systems Engineering.
