Computer Science Graduate | Machine Learning & Enterprise Systems Developer
Showcasing diverse projects in machine learning, enterprise systems, and AI applications
A full-stack AI application that provides intelligent feedback on student assignments while maintaining academic integrity. Features a React/Next.js frontend and Python Flask backend that leverages OpenAI's API to generate constructive feedback and predicted grades without giving away specific answers.
A machine learning project that processes audio data and converts it to mel spectrograms for artist classification. Uses TensorFlow/Keras with Convolutional Neural Networks to classify music by artist from a dataset of MP3 files.
Enterprise computing projects demonstrating expertise in legacy systems and mainframe technologies. Includes a COBOL mortgage calculator for financial processing and JCL scripts for batch job scheduling and orchestration on mainframe systems. Part of coursework in COBOL for FinTech.
I'm a Computer Science graduate from the University of North Florida with diverse technical expertise spanning modern machine learning frameworks to legacy enterprise systems. My experience includes competitive programming, AI research, engineering internships, and full-stack project development.
Bachelor's in Computer Science
University of North Florida
Graduating May 2026