Building agentic systems since 2018. Engineering for the Navy since 2019.

I have been a Computer Scientist at the Naval Undersea Warfare Center since 2019, writing software for Navy research and development programs: analysis, prototyping and testing, largely in Python and C++ against real-time systems with hard measurement requirements.

Much of that work was machine learning applied to sensor and signal data — classification, clustering, dimensionality reduction and anomaly detection, for signal analysis and automated decision support. I guided a team of Navy engineers on a machine-learning data-analytics application that we demonstrated to government stakeholders.

I hold a B.S. in Computer Science from the University of Rhode Island, earned in 2022. That grounding is the reason I treat evaluation as part of engineering rather than an afterthought.

Since 2026 I have worked with senior leadership on the organization’s AI roadmap: identifying where AI genuinely applies, assessing feasibility, helping set technical direction, and developing the briefings that translate AI capability into concrete applications for leadership. I also build the codebase for those applications, so the recommendation and the working software come from the same hands.

The independent work is what led to the role I hold now. It is the part of my record I trust most, because it was evaluated by an employer and acted on rather than simply asserted on a page like this one.