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. I started in 2021 as a data engineer on the Fortis AI program, building serverless ingestion pipelines on AWS and integrating BERT-based NLP models. From 2022 to 2024, as a software engineer, I led data analysis and quality work for DoD data modernization on the Advana platform, alongside pipeline and exploratory tooling work (OCR, translation, geospatial, and graph analysis) for Fortis AI. Since October 2024 I have been an ML Engineer supporting the F-35 Joint Program Office's data modernization initiative, building Python analysis tools and dashboards on AWS GovCloud. I hold an active security clearance.

Before moving into engineering, I spent more than two decades in sales and client-facing roles: geotechnical engineering product sales, financial advising at Morgan Stanley, institutional fixed income sales at Wachovia Securities, small business banking, mortgage lending, and commercial telecom sales at MCI. That background shapes how I work as an engineer. I listen for what stakeholders actually need, translate technical work into business terms, and build relationships that last beyond a single project.

In 2025 I enrolled in the MS in AI Engineering program at Johns Hopkins University, taking one course a semester (expected May 2029). The program is a deliberate deepening: inference optimization, LLM internals, evaluation methodology, and the mathematical foundations that make those things legible. Several projects on this site started from that coursework; SiteWatch AI, for example, grew out of the computer vision component of Creating AI-Enabled Systems.