About Jeremy

Technical work.
Human context.

I want to build AI tools that make complex work easier for the people responsible for it. My strongest contribution is hands-on application engineering with domain experts: define the workflow, integrate the tools, evaluate failures, and improve the system through use.

My background

I build AI applications that help people work through complex information and operational decisions. My experience includes multi-agent orchestration, tool calling, retrieval, evaluation, and deployed ML pipelines using Python, FastAPI, Docker, and MLflow.

As Medical Innovation Officer at VetClaims.ai from August 2025 to May 2026, I developed agentic systems for clinical-evidence and benefits workflows. I combined hands-on engineering with product collaboration, delivering prototypes and production systems in short cycles.

I earned an M.S. in Artificial Intelligence, with a Machine Learning concentration, at the University of Michigan-Dearborn in 2025. Before transitioning to software and AI, I served as a U.S. Army Special Forces Medical Sergeant and retired in 2022. That experience informs how I work with domain experts, evaluate failure modes, and take responsibility for systems people depend on.

Experience

Where I’ve contributed.

August 2025 – May 2026

Medical Innovation Officer

VetClaims.ai

Developed and shipped prototypes and production agentic systems for veteran disability-benefits workflows in two-to-four-week cycles.

January 2024 – December 2025

AI Engineer & Graduate Research Assistant

University of Michigan-Dearborn

Developed ML pipelines for sepsis detection, NLP classification, and reinforcement-learning optimization.

2014 – 2022

Special Forces Medical Sergeant

U.S. Army — 7th SFG(A)

Led cross-functional teams on five partner-nation/combat deployments.

Let’s work together

Useful AI starts with
a real problem.

Based in Michigan. Open to remote roles from Michigan and Michigan-based opportunities.

Get in touch