University of Pennsylvania studying Mathematics and Computer Science. I specialize in building full-stack systems, probabilistic models, and the occasional passion project that keeps me up at night.
Tech and math have been part of my life for as long as I can remember. As a kid I was taking apart anything with a circuit board. By high school I was building computers and teaching myself to code. At 18, online poker led me to discover a vulnerability in a crypto casino's shuffling algorithm that created predictable patterns every few hundred hands. I taught myself to exploit it (ethically, of course), and was hired to help fix their system. Since then I've been obsessed with applying algorithmic reasoning through game theory, probabilistic thinking, and machine learning to real-world problems.
I'm excited by projects that are ambitious, creative, and technically challenging. I enjoy turning complex ideas into intuitive and functional digital experiences, whether it's a rough concept or a fully formed vision. When I'm not studying or coding, you'll find me at Penn Boxing, lifting, playing poker, or listening to some good music.
Python
C++
R
OCaml
Java
MATLAB
HTML5
CSS
JavaScript
NumPy
Pandas
Scikit-learn
PyTorch
React
TensorFlow
Matplotlib
MySQL
PostgreSQL
MongoDB
Node.js
Git
Software engineering internship at Visa.
Event Derivative Arbitrage on Kalshi, Polymarket.
Regulatory Alpha Extraction
Conducted AI policy research for the Department of Defense under Prof. Michael Horowitz, focusing on historical defense data analysis and emerging technology investment trends.
GPU optimization & backend databases for Monte-Carlo simulation.
Resume will be sent upon request. Send me an email at thomasou@sas.upenn.edu