Software Engineering • AI/ML • Healthcare Technology
I'm a registered nurse and computer science professional with 16+ years as an RN and a Master of Science in Computer Science focused on artificial intelligence and machine learning.
My background combines deep clinical domain expertise with hands-on experience in software engineering, cloud technologies, data analysis, and applied machine learning. I've worked across acute care, clinical case management, healthcare systems, and full-stack software development, and I'm especially interested in applying technology to complex real-world problems at the intersection of healthcare and AI.
- Languages: Python, Java, TypeScript, JavaScript, SQL
- AI/ML: scikit-learn, XGBoost, pandas, NumPy, supervised learning, model evaluation, cross-validation
- Frontend: React, Next.js, Tailwind CSS, responsive UI development
- Backend: Node.js, Express.js, Java Spring Framework, Spring Boot, REST APIs, authentication & authorization
- Data & Persistence: PostgreSQL, MySQL, Spring Data JPA, Hibernate, H2
- Cloud & Tools: AWS, Git, GitHub, Linux
Full-stack application that uses ZIP-code climate data and lawn characteristics to generate personalized grass recommendations and step-by-step lawn establishment and improvement plans.
React • TypeScript • Node.js • Express • PostgreSQL • REST APIs • AWS
Developed clinical prediction models using XGBoost and Gaussian Naive Bayes, including in-hospital mortality prediction from first-24-hour ICU data across 91,713 patient stays and approximately 180 clinical features. Evaluated class imbalance, discrimination, minority-class performance, and model operating points using cross-validation, ROC-AUC/AUC-PR analysis, hyperparameter search, and out-of-fold threshold optimization.
Python • XGBoost • scikit-learn • pandas • Machine Learning • Model Evaluation
Implementation repository is kept private because this work originated as graded graduate coursework.
Constraint-aware Python delivery simulator supporting deadlines, delayed availability, grouped deliveries, address corrections, and route optimization across 40 packages.
Python • Algorithms • Data Structures • Optimization • Testing
Production client website built from the ground up for a men's fashion retailer and transitioned to the client for ongoing maintenance.
Next.js • React • Tailwind CSS • Formik • Yup • Vercel
- M.S. Computer Science, Western Governors University — AI/ML focus
- B.S. Computer Science, Western Governors University
- AWS Certified Machine Learning – Specialty
- AWS Certified Solutions Architect – Associate
- AWS Certified AI Practitioner
- AWS Certified Cloud Practitioner
- LPI Linux Essentials