Finance background. Builder's instinct. Still learning. Two years in the workforce, building tools that save time and surface the right information — for myself, for colleagues, and for whoever picks it up after me.
02 / Proof
Six projects built from real problems. Each one designed so someone other than me can use it, understand it, and build on it. Domain knowledge applied. Tools chosen to fit the problem.
A coming equity research web app for scenario models, real market data, fundamentals, technical indicators, local AI inference, and Discord signal alerts.
A reporting and modeling project on hyperscaler demand, Alberta power economics, infrastructure constraints, and the investment case behind site selection.
A multi-sport analysis engine for game previews, real-time betting odds, scraped stats, and simple math models that explain where the market may be off.
Retention, ACV, and margin drift surfaced in one view — designed so a commercial team can spot the trend without opening a spreadsheet.
04 / Stack
Tools are chosen to fit problems, not the other way around. Finance-native first. Code where it adds leverage. AI where it closes the gap — then pressure-tested against what the domain actually requires.
One signal colour. Two surfaces of black. One paper white. Everything else is restraint.