Developed frontend and core functionality for a 10,000+ monthly user student life app with a focus on a scalable architecture, user-friendly/student-oriented features, and optimized performance.
Engineered mobile app with Android NDK, Kotlin, and Google Maps API that displays ratings and locations of food trucks all across campus for Penn and Drexel Students to use.
Developed predictive models (Random Forest, XGBoost, LightGBM) to analyze factors influencing Steam game success, supported by rigorous EDA (Matplotlib, Seaborn, Plotly) to visualize data distributions, correlations, and feature importance.
A custom compiler in C that translates a stack-oriented language (J) into RISC-V assembly, supporting tokenization, code generation, clang-compatible calling conventions, and tested via Valgrind.