Appearance
Software Engineer · Graduating December 2026
I build software with an emphasis on reproducibility, testing, and practical AI.
BS Computer Science
University of Florida
Selected work / 2025—2026
Three different problems. A shared focus on the decisions, implementation and evidence behind the work.
Making experiments repeatable.
From survivable worlds to frozen scenarios and traceable training pilots: building the foundations for a controlled reward-design study.
Finding the next good game.
An interactive comparison of similarity-search methods, with my implementation of locality-sensitive hashing and the Streamlit interface.
From a sketch to a world.
Connecting a drawing canvas to model inference and useful feedback in a collaborative environmental-restoration experience.
Also in the notebook
Backend tests, isolated fixtures and integration work for a team-built Flask application.
Research notes
Implementation milestones and engineering decisions from our reinforcement-learning project. Results are distinguished from plans.
What a short training run can establish—and what it cannot tell us about a learned policy.
A connected map is only the beginning. A candidate path must survive the environment's mechanics.
A little about me
I’m a University of Florida computer science senior building toward a career in software engineering. My work spans search algorithms, research infrastructure, model integration and application testing.
My work as a Geek Squad Consultation Agent has also shaped how I troubleshoot problems and explain decisions.
More about meThe next chapter
I’m pursuing new-graduate software engineering opportunities.