I’m a machine learning and full-stack engineer. I hold an M.S. in Computer Science with a concentration in data analytics from Boston University, and a B.S. in Computer Science with a minor in applied mathematics from Wentworth Institute of Technology.
At the Air Force Research Laboratory in Rome, New York, I built reinforcement learning agents on transformer architectures for autonomous decision-making, designed Graph-DQN models that use graph structure to reason about an environment, and wrote the training environments used to evaluate them. Before that I was a machine learning research intern at Wentworth, where I distributed a performance-prediction workload with MPI in C and cut computation time by 40%.
I also lead machine learning at Unearthed Land Technologies, where a team of three of us built a computer vision platform that turns architectural floor plans into structured data — custom YOLO detectors for walls, doors and structural elements, a SegFormer segmentation pipeline with a geometry post-processor, and a Flask inference API, trained on A100 cloud GPUs.
At Scriptify I built the platform end to end: patient enrollment and consent, audio and video visits, remote monitoring device fulfilment and readings, insurance claims submission, and the automated care-coordination reporting that goes back to the prescriber and the pharmacy. I worked alongside our regulatory and accounting advisers so the infrastructure holds up against Stark Law, Anti-Kickback and fraud, waste and abuse requirements.