Modeling the volatility surface of SPX options using Python Scikit-Learn ML techniques (Random Forest, XGBoost, MLPs). Visualizing predictors of data abnormalities, pricing time series, and model accuracy with Matplotlib. Engineered data preprocessing pipeline to load options, Treasury rates, and ES futures time series data into Pandas DataFrames and calculate risk-free rate and dividend yield for Black-Scholes inversion

Developing and validating C++/F Prime control system for MonARCH 12U CubeSat mission in compliance with NASA standards, maintaining documentation and contributing to unit tests and review processes.

Standardizing development workflow laboratory-wide, creating custom Docker configuration for F Prime.

Lead programmer on the Pleiades-Orpheus student-led 1U satellite mission; launched December 2024.

Led team of 5 to develop resilient satellite communication system in CircuitPython, incorporating packetization, handshakes, retry requests, and error correction. Reliably linked satellite in orbit to ground station, mitigating packet loss and enabling rapid deployment of new features.

Developed custom serial console that streamlined development process by automating file syncing between computers and microcontrollers; reduced time between iterations by ~50% and data collection time by ~95%.