I pursued a double degree in Finance and Computer Science at Wilfrid Laurier University because I wanted to understand both sides of the equation: how markets move, and how to build the tools that make sense of that movement. Growing up, I was always strong with numbers and naturally drawn to technology. I could pick up programs and systems quickly, but it wasn't until I started studying equity markets in high school that I realized I wanted to merge these two passions.

I actively follow financial markets, macroeconomic trends, and investment strategies. I stay engaged with market movements, central bank policies, and industry reports to understand how technology shapes modern finance. This foundation has instilled in me a core belief: money is the signal of everything. It tells you the exact direction a company is moving and at what speed. That's why I've built my foundation at the intersection of finance and technology. You can't truly read markets without understanding how technology is reshaping them.

That brings me to artificial intelligence. I believe that those who leverage AI will outperform those who don't, and those who reject it will get left behind. Recently I saw Ken Griffin speak at Stanford and he mentioned that a team of PhDs at Citadel had been replaced by agentic AI. It honestly reinforced exactly what I believe. With all the AI tools available now, it's crucial to leverage them to best position yourself. I'm making sure I do.

That's why I'm currently building Eventual, an AI-powered Transaction Coordinator startup targeting Ontario residential real estate brokerages. The thesis is systematic automation. We launch as a tech-enabled service with human oversight, then progressively reduce human involvement to reach true autopilot. It's where my conviction lives: the future belongs to builders who can architect technology that makes institutional finance faster, smarter, and more efficient.