Four years putting AI systems into production, alongside the people who use them.

I am a Computer Scientist at the Naval Undersea Warfare Center in Newport, Rhode Island, where I have worked since 2022. I run technical discovery with program-office and senior technical leadership on the organization’s AI roadmap: gathering requirements, reading the usage data coming back from what is already in service, and telling them which of their problems are not actually AI problems.

I brief and demonstrate AI capability to the lab’s customers, to Navy program offices, other labs and commands, and contractor teams, translating between technical and non-technical stakeholders. Who gets to use this technology is mostly a translation problem.

The work behind those conversations is ordinary engineering. I architected a shared platform component that more than one project now builds on, so the design decision was made once rather than repeated by every team that needed it. I built an LLM application end to end, Python services underneath and the TypeScript interface people actually touch on top, now in sustained use by people outside my team. I built the ingestion path into existing Navy data systems and sensor and test equipment I do not own, against interfaces fixed long before I arrived.

I set acceptance criteria before the build rather than arguing them after, then led four to six Navy engineers through the deployment of a machine-learning data-analytics application, its demonstration to government users, and a handoff of the working prototype on a repeatable CI/CD pipeline. Leaving them able to run it without me was the deliverable.

I hold a B.S. in Computer Science from the University of Rhode Island, earned in 2022.