About Me
I'm a Computer Science student at the University of Illinois Urbana-Champaign with a passion for data science, machine learning, and building tools that make complex data accessible and actionable.
Currently exploring quantitative finance, computer graphics, and competitive programming while maintaining a 4.0 GPA. I'm actively involved in Quant @ Illinois, Illini Solar Car, and SIG-ICPC.
When I'm not coding, you'll find me analyzing baseball statistics, working on interactive visualizations, or mentoring fellow students in software development.
Education
University of Illinois Urbana-Champaign
Bachelor of Science, Computer Science
Expected May 2028 • GPA 4.0
Selected Work
Baseball xwOBA Prediction
August 2025 – Present
Python, Scikit-learn, Pandas, Matplotlib
Machine learning model predicting xwOBA using Statcast data with improved accuracy by incorporating directionality features. Built with interactive demo for real-time predictions.
View Project →Automated Study Group Scheduler
August 2025 – Present
Python, Flask, PostgreSQL, OAuth 2.0
Web application that processes Google Calendars to generate optimized study groups using scheduling algorithms and graph matching techniques for intelligent filtering.
View Project →Neural Network Pong AI
June 2025
PyTorch, NumPy, PyGame
Custom Pong game environment with PyTorch-based autonomous agent. Features optimized state representations and reward functions for efficient learning.
View Project →Interactive Linear Algebra Calculator
August 2024
NumPy, Matplotlib
Visual matrix calculator with animated vector projections and eigenvector concepts. Adopted by Golden West Community College as educational tool.
View Project →Experience
Chief Financial Officer
Student Advocacy for Change
Nov 2023 – Sep 2025
- •Built survey platform analyzing political measures with 300+ responses
- •Applied Pandas for demographic trend analysis and visualization
- •Automated data workflows improving reporting accuracy and efficiency
- •Presented insights to city officials using Matplotlib visualizations
Lead Tech Developer
National Organization for Business & Engineering
Aug 2025 - Present
- •Led a 10-member development team to build a full-stack AI platform that automates property data analysis
- •Designed ML models using web-scraped datasets to predict performance metrics and rank results
- • Helped design and deploy a Flask-based website to display property analytics and AI-generated insights
Engineering Program Intern
Moffatt and Nichol
June – July 2025
- •Utilized structural analysis software for coastal infrastructure modeling
- •Developed Python scripts for simulation data processing and interpolation
- •Mentored high school interns in specialized software applications