Jayden Powell

At 18, I work in commercial finance during the day and build production software in my own time. These aren't separate lives, they feed each other. The finance work gives me real insight into how businesses operate, where processes break down, and what actually needs fixing. The technical work lets me do something about it.

I've always been drawn to problems that sit at the intersection of data and decision-making. Racing Form Pro started from watching professionals in the horse racing industry manually sift through scattered data to decide which races to enter, so I'm building a Chrome extension that puts everything they need in one place. The Quant Prediction Engine started as a question: can historical football data actually predict outcomes? After processing 14,000+ matches and running 100 backtest iterations, the answer is yes, 72-83% accuracy with proper walk-forward validation.

In my finance role, Excel isn't just a tool, it's how I solve problems daily. I build VBA macros that automate repetitive reporting tasks, complex models that consolidate data from multiple sources, and dashboards that give teams the information they need without the manual work. When a process takes someone hours, I look for ways to make it take minutes. For example, cutting a 2 hour weekly task down to just 20 minutes.

I treat AI as a force multiplier, not a shortcut. Tools like Claude Code let me move faster and tackle larger systems than I could alone, but they don't replace the thinking. I still architect the solutions, make the technical decisions, and own the quality of what ships. AI handles the execution at scale; I handle the direction and the details that matter.

Everything I ship is production-grade. That means proper testing, clean architecture, and systems that don't break when real users start using them. I'm not interested in prototypes that never go anywhere. I build things that work and put them in front of people.