From battlefield to codebase - I'm leveraging a decade of high-stakes leadership and medical expertise to build AI systems that enhance human capabilities and save lives. As a Special Forces Medical Sergeant turned AI Engineer, I bring military precision, adaptability, and mission-first thinking to complex technical challenges.
Currently completing my M.S. in Artificial Intelligence at the University of Michigan-Dearborn, with focus on medical AI applications, computer vision, and neural networks.
class MissionStatement:
def __init__(self):
self.background = "10+ years Special Forces Medical Leadership"
self.deployments = 5
self.education = "M.S. Artificial Intelligence (2025)"
self.mission = "Building AI that saves lives and enhances human potential"
self.specialization = ["Medical AI", "Computer Vision", "Emergency Response Systems"]
def unique_value(self):
return "Military precision + Technical innovation + Healthcare expertise"🎖️ Leadership Under Pressure
10+ years leading teams in high-stakes, life-or-death situations
🏥 Medical Expertise
Advanced trauma care knowledge informing AI healthcare solutions
🎯 Mission-Critical Thinking
Systems must work when they matter most - no room for failure
🔬 Technical Rigor
Currently mastering Neural Networks, NLP, Computer Vision, and Quantum Computing
Machine Learning Pipeline for Critical Care Medicine
- Impact: Early sepsis detection could reduce mortality by 15-20%
- Technical: XGBoost & Random Forest with Optuna hyperparameter optimization
- Innovation: Applying battlefield triage principles to ML model design
- Stack: Python, Scikit-learn, XGBoost, Pandas, MLflow
Deep Learning System Converting Images to LaTeX
- Achievement: CNN-LSTM sequence-to-sequence architecture
- Application: Accessibility tool for digitizing mathematical content
- Technical Challenge: Computer vision + NLP hybrid approach
- Stack: PyTorch, Computer Vision, Deep Learning, Neural Networks
CBAM-ResNet18 Model for Precision Agriculture
- Performance: 97.46% accuracy across 38 plant-disease categories
- Innovation: Attention mechanism for improved feature extraction
- Real-world Impact: Supporting food security through AI-driven crop monitoring
- Stack: PyTorch, Computer Vision, ResNet, Convolutional Neural Networks
Featured Articles on clelandco.com:
🎯 "AI at the Operator's Edge" - How Special Forces principles inform edge AI deployment
🏥 "Medical AI from the Battlefield" - Applying military triage protocols to AI diagnostics
🤖 "Building Resilient AI Systems" - What Special Forces taught me about system reliability
U.S. Army Special Forces Medical Sergeant | 7th SFG(A) | 2014-2022
✅ 5 Combat Deployments - Proven performance under extreme pressure
✅ Advanced Medical Training - Life-saving decisions in austere environments
✅ Team Leadership - Leading diverse, high-performing teams
✅ Complex Problem Solving - Adapting to rapidly changing, high-stakes situations
"The same discipline that made me effective in Special Forces now drives my approach to building AI systems that work when lives depend on them."
🎓 Education: Completing M.S. in Artificial Intelligence (2025)
🔬 Research Focus: AI applications in emergency medicine and trauma care
💼 Career Target: AI Engineering roles in healthcare, defense, or mission-critical systems
🤝 Open to: Full-time opportunities, consulting, research collaborations
Looking for AI engineers who bring unique perspectives and mission-critical experience?
I combine military leadership, medical expertise, and cutting-edge AI skills to build systems that make a real difference. Whether you're tackling healthcare challenges, building resilient systems, or need someone who understands what "mission-critical" really means - let's talk.
📧 Ready to discuss opportunities: jeremy.cleland@icloud.com
🌐 See my full portfolio: clelandco.com
💼 Professional background: LinkedIn