AI & machine learning
Production LLMs, RAG pipelines, knowledge graphs, multimodal models, and edge inference — Ollama and ChromaDB for local model serving and retrieval in mission environments.
AI engineered,
software shipped.
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 touchWhat I build with.
Practice areas I have shipped to production across federal, civic, and commercial engagements.
Cloud & infrastructure
AWS-native architectures across S3, Lambda, Bedrock, DynamoDB, and EC2, with Docker containerization and GPU compute for model serving.
Software & data engineering
Python and JavaScript across FastAPI services, Svelte and Streamlit frontends, and Neo4j / PostgreSQL pipelines for structured extraction and visualization.
Delivery & strategy
JIRA, Confluence, SCRUM, and PI planning for cross-team execution, with RFP authoring for federal and commercial proposals.
Featured projects.
A few engagements that shaped the way I think about shipping AI under real constraints.
Space domain · Booz Allen Hamilton
Interactive AI for orbital decision support.
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 articleEdge deployment · Booz Allen Hamilton
First known generative AI deployed in space.
AI 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 CNBCDocument AI · General Dynamics IT
Claims acceleration for the Department of Veterans Affairs.
Senior 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.
Where I have shipped.
Roles across defense, federal civic, and private-sector engagements. Click any entry to expand its detail.
Background.
Education
MS Computer Science
In progressGeorgia Institute of Technology
MS Management
CompleteMiddle Tennessee State University
BS Data Science
CompleteMiddle Tennessee State University
AS General Studies
CompleteMotlow State Community College
Certifications & recognition
- Neo4j Certified Professional, Graph Data Science Certification
- CompTIA Security+
- Graduate capstone literature review on artificial intelligence and its role in evolving leadership — practical application guide for practicing management.
- Guest speaker and panelist at the MTSU Data Science Alumni Event. (Article)
- Live TV interview regarding MTSU programs. (Video)
Contact
Have a problem worth solving?
Always open to interesting projects and conversations. Response time within one to two business days.
- Location
- Nashville Metro, TN
- Clearance
- Secret
- Availability
- Open to opportunities
Notes from the field.
A collection of thoughts.
Welcome, let's do this.
My 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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