CS undergraduate • AI & Data Enthusiast • LLM nerd
I'm a computer science undergraduate at Southwestern University with a passion for data, AI, and creative problem-solving. I’ve contributed to academic research through the SURF and DREU programs, where I trained diffusion models with UNet architectures for Procedural Content Generation (PCG) and developed a SQL-to-Python data pipeline to analyze player behavior in a Minecraft-based learning environment.
I’m currently seeking a part-time fall internship to complement my coursework in Programming Languages and Remote Sensing. I’m especially interested in roles related to data analytics, geospatial data science, software development, or applied AI. My goal is to apply what I’ve learned in real-world settings where data-driven insights can have a tangible impact.
Trained diffusion models using UNet and PyTorch to generate playable Mario levels.
See repoDesigned and co-developed an educational game in Godot to teach data science to children.
Download and play it on itch.ioCreated maps in ArcGIS Pro highlighting geographic and demographic data.
View GIS PortfolioBuilt a K-Nearest Neighbors classifier to predict whether mushrooms are edible or poisonous using a classic public dataset.
View the Colab NotebookBuilt a SQL-to-Python data pipeline and applied network analysis to study student behavior in a Minecraft-based learning environment.
DREU Research Page