PlantDoc: Plant Disease Classification
State-of-the-art plant disease classification with CBAM-augmented ResNet18, achieving 97.46% accuracy across 38 disease categories.
Computer VisionCNNAttention Mechanisms+3
Jeremy Cleland
> About Me
A Mission to Innovate: From Green Beret to AI Engineer
> Bio
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.
Current Focus
The through-line from medic to ML is the mission: take care of the people who served. As a Special Forces Medic I did it with an aid bag; as Director of AI & Product I did it with machine learning—building systems that read clinical evidence against VA rating criteria so veterans get rated correctly and don't lose years to a process that can drag on indefinitely. Same fight, different tools.
>Languages & Tools
Director, AI & Product
Venture-Backed AI Startup • Remote
Work
Reported directly to the CEO, owning high-priority, time-critical initiatives end-to-end as the company scaled roughly 5x in headcount.
Skills & Technologies:
AI & Product LeadershipApplied Machine LearningClinical NLPVA Rating CriteriaRetrieval-Augmented GenerationCross-Functional Execution
Key Responsibilities:
- Reported directly to the CEO, owning high-priority, time-critical initiatives end-to-end as the company scaled roughly 5x in headcount.
- Shipped production AI and software products across the business—from OSINT and intelligence work to applied ML and full-stack development.
- Built AI and clinical-evidence pipelines that turned VA disability claims into file-ready packages, compressing a process that has historically taken veterans years.
- Designed model-assisted nexus-letter workflows grounded in VA rating criteria and current medical literature, translating Special Forces medical experience into automated evidentiary tooling for veterans.
M.S. in Artificial Intelligence
University of Michigan-Dearborn • Dearborn, MI
Education
Concentration: Machine Learning.
Skills & Technologies:
Machine LearningDeep LearningNeural NetworksNLPAI EthicsQuantum Computing
Key Achievements:
- Concentration: Machine Learning.
- Coursework: advanced ML, deep learning, NLP, Quantum Computing, algorithm analysis, pattern recognition, AI ethics, computer vision.
Special Forces Medical Sergeant
U.S. Army — 7th SFG(A) • Global
Work
Led cross-functional teams on five partner-nation/combat deployments.
Skills & Technologies:
LeadershipCrisis ManagementData AnalysisTraining & DevelopmentCross-Cultural Communication
Key Responsibilities:
- Led cross-functional teams on five partner-nation/combat deployments.
- Provided trauma care under fire and developed medical training for host-nation forces.
- Implemented data-driven readiness tracking, boosting team efficiency 15 percent.
Certificate – Advanced Software Development, Full-Stack JS
Code Fellows • Seattle, WA
Education
Six-month VET TEC-funded immersive program.
Skills & Technologies:
JavaScriptNode.jsReactDatabase ManagementAPI DevelopmentAgile Methodologies
Key Achievements:
- Six-month VET TEC-funded immersive program.
- Projects: RESTful APIs, React front-ends, CI/CD with Docker.
B.S. in Liberal Arts (summa cum laude)
Excelsior University • Albany, NY
Education
4.0 GPA; emphasis on data analysis & critical thinking.
Skills & Technologies:
Critical ThinkingResearchCommunicationAnalysisSelf-Discipline
Combat Medic
U.S. Army • Germany & CONUS
Work
Provided frontline medical support and clinic care across Europe.
Skills & Technologies:
Problem SolvingTeam CollaborationProcess OptimizationEmergency Medicine
Key Responsibilities:
- Provided frontline medical support and clinic care across Europe.
- Streamlined clinic workflows with digital record keeping, reducing wait times 20 percent.
Featured Projects
