Computer Science student at James Madison University bridging logic and design. Currently exploring the intersection of data science, studio art, and systems engineering.
Architected a custom LLM specialized in fitness data. Uses skeletal tracking concepts to generate personalized, data-driven exercise plans and optimize muscle engagement.
Engineered a full-cycle CPU simulator that emulates the von Neumann architecture. Handles fetch, decode, execute, memory, and write-back stages for the Y86-64 ISA.
Built a predictive text engine from scratch using custom HashMaps and word-transition graphs. Features recursive sentence generation and robust character-level tokenization.
I'm currently pursuing my B.S. at JMU with minors in Data Science and Studio Art. My work focuses on finding the elegance in complex systems—whether that's optimizing a virtual memory space in C or structuring a database for a Workout Logbook.
When I'm not compiling code or designing UI components, you can usually find me analyzing YouTube retention metrics, chasing a one-rep-in-reserve intensity in the gym, reading up on cosmic horror, or fiercely defending the historical legacy of the European legend, John Backflip.