Experience

Built and backtested two systematic trading models: a long-rate forecast against bond futures, driven by growth and inflation signals; and a Chinese equity flow-prediction model. Also built a natural-language financial research tool at the Bridgewater hackathon.

Rebuilt a GPS authentication system in MATLAB with stronger cryptographic guarantees (HMAC 16 → 28–37 bits, aggregated auth). Implemented error-correction tolerating up to 40% message loss. Reached 100% test coverage and containerized the dev environment.

Accelerated Curiosity rover planning scripts by 90% via modular refactoring, mocked service calls, and runtime profiling. Built an automated HTML reporting pipeline for rover operations with dynamic text and image generation.

Computational analysis of microbiome data from the American Gut Project — used Python, NumPy, and Pandas to surface links between lifestyle factors and microbial diversity.