Paul Greenwood AI Engineer & Data Scientist
MPS in Biomedical Health Informatics from UNC Chapel Hill
Architecting intelligent healthcare systems with 50K+ clinical notes processed daily,
92% prediction accuracy, and $2M+ in cost savings through AI-driven automation
AI Engineering Excellence
Cutting-edge AI solutions with measurable business impact
Large Language Models
Advanced prompt engineering and LLM integration for healthcare applications with 95% accuracy improvements
Predictive Analytics
Healthcare prediction models achieving 92% accuracy in patient outcome forecasting using ensemble methods
Intelligent Automation
End-to-end ML pipelines processing 10M+ healthcare records with real-time inference capabilities
Recent Breakthrough Projects
Real-world healthcare AI implementations with measurable impact
Intelligent Clinical Assistant
AI-Powered Clinical Decision Support
Predictive Risk Analytics
30-Day Readmission Prediction
Automated Healthcare Workflows
Intelligent Process Automation
Core Expertise
Multidisciplinary expertise spanning AI, healthcare technology, and enterprise systems
Healthcare AI
- Clinical Decision Support Systems
- Patient Risk Stratification
- Telehealth Platform Integration
AI & Machine Learning
- Multi-Agent AI Systems
- Real-time Inference Pipelines
- Autonomous Decision Making
Enterprise Architecture
- Microservices Architecture
- API Gateway Management
- High-Availability Systems
Technology Stack
Modern tools and frameworks for building scalable AI solutions
AI/ML Frameworks
Healthcare Tech
Cloud & DevOps
Development
Data & Analytics
Master of Professional Science (MPS)
Biomedical Health Informatics
University of North Carolina at Chapel Hill
Specialization: Healthcare AI, Clinical Informatics, Health Information Systems
Success Stories
Real-world implementations delivering measurable healthcare improvements
Multi-Hospital Health System
Clinical AI Implementation
Challenge
Large health system struggling with physician burnout from excessive documentation and missed clinical insights in 50,000+ daily notes.
Solution
Deployed Intelligent Clinical Assistant with GPT-4 integration, real-time FHIR processing, and automated diagnostic suggestions.
Results
Regional Healthcare Network
Predictive Analytics
Challenge
High readmission rates causing $2M+ annual penalties and poor patient outcomes across 15 facilities.
Solution
Implemented ensemble ML models for 30-day readmission prediction with real-time risk scoring and intervention protocols.
Results
Academic Medical Center
Workflow Automation
Challenge
Manual processes causing delays in patient care and inefficient resource utilization across complex workflows.
Solution
Deployed intelligent automation platform with Apache Airflow, process mining, and decision tree optimization.
Results
Ready to Collaborate?
Let's discuss how AI and data science can transform your healthcare technology challenges into innovative solutions.