About

I studied applied mathematics at Towson University (MS, 2021) and have been working in data and software engineering ever since. The math background shapes how I approach ML problems: I want to understand the mechanism, not just the API surface. That means reading the papers, implementing from scratch when it clarifies something, and measuring results with proper eval harnesses rather than eyeballing outputs.

I have spent five years at HII Mission Technologies. The first year was on the Fortis AI project as a data engineer and software engineer: streaming telemetry pipelines, GIS processing, GDELT ingestion, and RDF/SPARQL graph work. Since 2022 I have been an ML Engineer supporting the F-35 Joint Program Office's data modernization initiative, writing Python and SQL for data analysis and pipeline work on AWS GovCloud and the Advana platform.

In 2025 I enrolled in the MSE in AI Engineering program at Johns Hopkins University (expected December 2028). The program is a deliberate deepening: inference optimization, LLM internals, evaluation methodology, and the mathematical foundations that make those things legible. Most of the projects on this site were built alongside or directly out of that coursework.