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
From battlefield to code base, I'm Jeremy—a Special Forces Medic turned AI Engineer forging a new mission in artificial intelligence. Combining military precision with technical innovation, I leverage my decade of high-stakes leadership to build resilient, intelligent systems that enhance human capabilities and solve meaningful problems. My work focuses on creating AI that amplifies human creativity and flourishing, ensuring technology serves as a partner in our collective growth rather than merely a tool. I'm passionate about designing systems that help humanity navigate our rapidly evolving future with greater meaning and purpose.
Current Focus
This summer term I'm expanding my knowledge and hands on experience with large language models while diving into algorithm analysis and pattern recognition. This is second to last term of my M.S. program, and I'm excited to apply my skills to real-world problems.
>Languages & Tools
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
Sepsis Prediction Pipeline
Advanced machine learning pipeline for early sepsis detection using Random Forest, XGBoost, and Logistic Regression models with hyperparameter tuning.
Machine LearningHealthcare AIData Science+3
Jeremy Cleland
HMER: Image to LaTeX Converter
A deep learning-based system for converting images of mathematical expressions into LaTeX code, using sequence-to-sequence architecture with CNN/ResNet encoder and LSTM decoder.
Deep LearningComputer VisionPyTorch+5
Jeremy Cleland