I'm a software engineering student and undergraduate researcher interested in machine learning, computer vision, and full-stack development. I've worked at Thomson Reuters Special Services and Ecolab, and published computer vision research at MLSA 2026.
A lot of my public work grew out of Apex Legends. I used to coach professionally, then started building tools to pull useful data out of gameplay footage. That eventually turned into broader work with OCR, tracking, pathfinding, and applied machine learning.
- Languages: Python, TypeScript/JavaScript, C#, Java
- Machine learning and computer vision: PyTorch, OpenCV, YOLO, OCR, multi-object tracking
- Web development: React, Flask, Spring Boot
- Apex Analysis Toolset — A Python toolset that uses computer vision and OCR to extract statistics from Apex Legends footage.
- Apex Rotation Advice — A pathfinding tool that computes fast, safer rotations between points of interest.
- CV Sudoku Solver — A weekend project that reads a Sudoku puzzle from an image, solves it, and renders the result.
- Breaking Turtle Graphics — A Python script that converts an image into a format Turtle Graphics can draw.
- Discord:
happihound