I led the risk framework for AlgoGators, UF's student-run algorithmic trading fund. I got into finance in the first place because the idea of decisions driven purely by compute struck me as interesting, and this was that idea in practice: stop-loss thresholds and drawdown limits in pandas and NumPy that let the fund react to a bad market in real time instead of after the fact. I also led five analysts and put code review and testing in place, so we shipped fewer broken changes into the live system.
I started out in finance, the idea of decisions driven purely by compute struck me as genuinely interesting. That turned into risk infrastructure for a student-run trading fund and automation for high-net-worth portfolio operations at Morgan Stanley. Same instinct as the rest of my work: build the guardrails and automate the busywork so people can move faster without breaking things.
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