About Me
Who I Am
2A Mathematical Finance student at University of Waterloo. I build systems that turn data into decisions—mostly around markets, optimization, and pattern recognition.
How I Got Here
At 12, I watched my father run trading strategies and wondered how math could predict markets. At 17, I built my first forecast model for a high school project and it actually worked. That was it—I knew what I wanted to study.
What I Build
Quantitative systems that solve real problems. A portfolio optimizer managing actual capital. ML models classifying market patterns from gigabytes of data. Trading strategies that account for real market constraints, not just backtest fantasies.
My Approach
I care more about results I can defend than impressive-looking numbers. If a model shows 90% accuracy, my first instinct is skepticism. I'd rather have 71% I trust than 95% I don't understand.
Current Focus
Building better risk management systems and exploring how ML applies to financial markets. Also figuring out how to explain complex analysis to people who don't care about covariance matrices.
Beyond Code
Currently in Waterloo. When I'm not debugging models or optimizing portfolios, I'm usually thinking about why markets behave the way they do.
What I'm Looking For
Co-op positions in quantitative research, data science, or financial engineering. Somewhere I can build things that matter and learn from people who've done it longer than I have.