Curious by default.
Game consoles, RC toys, Arduino robots, PCs, if it had a chip in it, I wanted to know how it worked. That curiosity never went away, it just turned into software.
CS student at Texas State. I build things with C++, Python, and whatever else I can get my hands on: closest thing to a superpower I've found.
See my GitHub ↗Skills & Tools
Languages
- C++
- Python
- Java
- JavaScript
- Pytorch
- HTML / CSS
- SQL
Frameworks & Libraries
- React
- Flask
- pandas
- scikit-learn
- NumPy
- Matplotlib
- Docker / Kubernetes
Tools & Platforms
- Git & GitHub
- VS Code
- Qdrant
- Open AI
- Docker
- Firebase / Firestore
- Linux
Projects
ML-Ball
Inspired by my love of the sport and Moneyball, I built a machine learning model to predict MLB player performance for the 2024 season using historical data from baseball-reference.com.
AI Study Tool
Web application that transforms study notes into interactive quizzes using AI. Built with React and Flask, implements vector databases and cosine similarity for efficient data retrieval using RAG.
Spotify Stats Visualizer
Web app that uses the Spotify API to display personalized listening statistics and visual insights. Using JavaScript and D3.js, it creates interactive charts and graphs to visualize your music habits over time.
Let's work together.
Whether you're looking for a collaborator, have a project idea, or just want to connect, my inbox is open.