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 now serving as Medical Innovation Officer (AI Engineer) at VetClaims.AI, where I build 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 at VetClaims.AI.
That mix—leading under fire, then engineering systems for the same population I once treated—is the angle I bring to ML and AI: training models on VA rating criteria, structuring nexus-letter workflows, and reading 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
At VetClaims.AI, I'm applying AI and machine learning to veterans-benefits workflows—building systems that cut through bureaucratic friction so veterans get the benefits they deserve. It's the same mission that drove me as a Special Forces Medic, now powered by ML instead of an aid bag.
>Languages & Tools
Medical Innovation Officer (AI Engineer)
VetClaims.AI • Remote
Work
Build AI and clinical-evidence pipelines that turn VA disability claims into file-ready packages, compressing what has historically been a multi-year process.
Skills & Technologies:
Applied Machine LearningClinical NLPVA Rating CriteriaRetrieval-Augmented GenerationMedical Evidence WorkflowsHealthcare AI
Key Responsibilities:
- Build AI and clinical-evidence pipelines that turn VA disability claims into file-ready packages, compressing what has historically been a multi-year process.
- Design model-assisted nexus-letter workflows grounded in VA rating criteria and current medical literature.
- Bridge clinical reasoning, VA policy, and ML — translating Special Forces medical experience into automated diagnostic and evidentiary tooling.
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
