First-year CFM student at Waterloo. I like building things that sit at the intersection of code and finance.
I first got into tech and finance through The Knowledge Society (TKS) in high school, where I built a blockchain voting DApp on Ethereum and started exploring how emerging tech could disrupt traditional systems. Since then, my interests have developed into quantitative finance and market microstructure.
Last summer I interned at Evertz Microsystems doing accounting work under the CFO, learning a lot about how money actually moves through a company.
DARPOL — Detects potential institutional trading activity by analyzing volume spikes and VWAP deviations. Built with Python, Flask, and Chart.js. Deployed and live.
Market Meet — Portfolio optimizer I built with my team for our CFM class competition. Tracks S&P 500 + TSX benchmark using covariance-based optimization. Hit 0.49% tracking error during the competition.
Congress Member Portfolio Analysis — Dug into 30+ Congress members' stock holdings to see if their returns were skill or luck. Lots of Excel, statistics, and skepticism.
Blockchain Voting DApp — Built a decentralized voting app on Ethereum back in high school through TKS. Solidity, MetaMask, the whole thing.
- C programming
- Options pricing (Black-Scholes, Monte Carlo)
- How market microstructure actually works