Led the development of a risk management framework for the AlgoGators Investment Fund, a student-run algorithmic trading organization. Designed stop-loss mechanisms and performance alert systems that enabled the fund to detect and respond to adverse market conditions in real time.

• Designed and implemented stop-loss thresholds and drawdown limits using pandas and NumPy to protect fund capital
• Built automated performance alert systems that notified the team of risk events via threshold-based triggers
• Led a team of five analysts, reviewing and validating software before system integration
• Reduced integration defects and accelerated deployment by introducing code review and testing workflows