
PlantDoc: Plant Disease Classification
State-of-the-art plant disease classification with CBAM-augmented ResNet18, achieving 97.46% accuracy across 38 disease categories.
Hi, I am
Retired Special Forces Medic turned AI engineer and product leader. Most recently Director of AI & Product at a venture-backed AI startup, building ML systems that help veterans get the benefits they deserve. Now open to what's next.
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I'm Jeremy—a retired Special Forces Medical Sergeant and AI Engineer, most recently Director of AI & Product at a venture-backed AI startup, where I built the AI systems that help veterans navigate the VA disability claims process. After fifteen years in uniform—eight of those in 7th Special Forces Group running medical care under fire—I earned my M.S. in Artificial Intelligence from the University of Michigan-Dearborn in 2025 and brought both halves of that experience together building products for veterans.
That mix—leading under fire, then engineering systems for the same population I once treated—is the angle I bring to ML and AI: I trained models on VA rating criteria, structured nexus-letter workflows, and read clinical evidence with a clinician's eye on problems most engineers don't see. The mission is the same one that drove me as a medic: when a fellow service member needs help, you show up and you get it done.
I'm looking for my next role—ideally AI/product leadership where I can own hard, high-stakes problems end-to-end and ship real models into production. Coming off building clinical-evidence pipelines, retrieval-augmented drafting, and ML-assisted rating workflows for veterans, I'm now open to new opportunities where domain depth, applied AI, and measurable outcomes matter more than hype.
A snapshot of my professional background and technical expertise.
M.S. in Artificial Intelligence
Venture-Backed AI Startup
U.S. Army — 7th SFG(A)