Principal AI/ML engineer shipping full-stack AI to defense, civic, and commercial programs. Production language systems with retrieval, structured reasoning, and multimodal understanding. Built end-to-end, from data through inference. Fluent in technical depth and in executive translation.
Get in touchPractice areas I have shipped to production across federal, civic, and commercial engagements.
AI systems that answer from your own knowledge with lineage back to the source, reasoning across text, images, and the structured data buried in your operations. Deployed wherever it needs to run: in the cloud, on-premise, or on secure infrastructure where the cloud is not an option.
Infrastructure that scales with your usage instead of your bill. Managed pipelines, on-demand compute for model serving, and services that ship the same way every time so nothing breaks between staging and production.
Full-stack applications built end-to-end: clean APIs, interfaces your team will actually use, and data pipelines that turn messy sources into structured knowledge you can query, visualize, and act on.
Cross-team execution that keeps engineering, stakeholders, and leadership aligned on the same outcome. Proposal authoring for federal and commercial engagements when the work has to be pitched before it can be built.
Applied AI delivered as outcomes. Voice agents, agentic workflows, and retrieval over your own data, from scope to a working POC in days, not a two-week planning deck. Iterated against real feedback, hardened toward production, and handed off running so your team owns what ships.
Custom models trained on your own data when a general-purpose model does not cut it, and honest side-by-side comparison so you actually know which option fits the job. On-premise and edge deployment for latency-sensitive environments and for places where the cloud is not the answer.
A few engagements that shaped the way I think about shipping AI under real constraints.
Technical lead · i2S2 IRAD · 2023 – 2025
Led a ten-person technical team building a space situational awareness application that integrated LLMs via Python, Ollama, Docker, and FastAPI, storing results in PostgreSQL with a Svelte frontend. Demonstrated at NASA JSC, the Air & Space Forces Association, the Space + AI Summit, the USSF I3E, and the firm CEO demo.
Read the articleAI engineer · A2E2 · Oct 2024
Collaborated on model optimization for the 10/31/24 International Space Station (ISS) deployment and was named on a provisional patent for edge deployment.
Read on CNBCSenior AI/ML engineer · UCAP · 2025 – 2026
Architected an end-to-end pipeline to extract typed and handwritten text from multipage PDF claim forms, normalize the data to structured JSON, repopulate forms downstream, and ship a PII redaction proof of concept with visual verification.
Roles across defense, federal civic, and private-sector engagements. Click any entry to expand its detail.
Jun 2026
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Read moreEducation
Georgia Institute of Technology
Middle Tennessee State University
Middle Tennessee State University
Motlow State Community College
Certifications & recognition
Let me know your problem and we can get started.
A collection of thoughts.
The Atlantic made a tool for artists to check their catalogs against known AI training datasets. I ran mine. Things got worse from there.
Read postWhy 'just give the AI the data' and 'just take it to the shop' are the same sentence.
Read postMy buddy Matt told me to make a blog and I guess I listen sometimes. Subjectively useful information and hot takes, if you're into that.
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