Software Engineer (CARSR)
B.S. in Cognitive Science (neuroscience/AI concentrations) and Computer Science
Software engineer with a dual background in Cognitive Science (AI/neuroscience concentrations) and Computer Science, and 2+ years of experience developing, debugging, and modernizing robust C++ and Python systems for high-stakes environments (FAA). Experience with automation, data-driven problem-solving, and rapid adaptation to complex technical systems. BlueDot Impact alumni (AGI Strategy) and CRS S-Risk Introductory Fellow. Deeply interested in understanding how complex/intelligent information systems work internally.
Projects from my undergraduate years — kept as a record of early explorations in ML and systems programming.
A Python machine learning project using custom recurrent neural networks to predict future stock prices. Trained on 5200 days of IBM closing prices from the AlphaVantage API. Demonstrates time series prediction with detailed mathematical analysis of the underlying calculus.
A C++ project demonstrating third-party library integration with TCLAP for command line argument processing. The program reads text files, performs case conversion based on arguments, and writes results to output files. Showcases C++ file I/O, library integration, and shell scripting.