Products I’m building, applied-AI and data science work, and security research.
A travel-tracking app for mapping visited places, planning future trips, and turning exploration into a visual record.
Product details are private while early testing is underway.
Product details are private while the first TestFlight build is prepared.
Researched the efficacy of LSTM neural networks in financial forecasting, reaching a test RMSE of 5.92 and test loss as low as 0.3%.
Built a client-server marketplace management system with a desktop GUI, concurrent connections, and robust backend functionality.
Developed data models and visualization dashboards for an agricultural AI initiative using drone imagery for weed detection and herbicide optimization.
Developed two-stage hierarchical demand forecasting models, achieving 90% platform-level and 70% product-level accuracy.
Built a prescriptive roster-swap model that weighs postseason probability, salary cost, and expected commercial value to identify realistic same-position moves.
Identified and patched CVEs through binary exploitation, reverse engineering, and static and dynamic analysis across multiple architectures.
No projects in this category yet.
I’m always happy to compare notes on products, applied AI, or security.