I've independently delivered 20+ Python projects spanning desktop applications, artificial intelligence, machine learning, computer vision, reinforcement learning, web systems, and developer tools.
For Project Polaris, I built an offline-first PySide6 and SQLite desktop application with 11,382+ lines of code, 102 files, a physics-based engine, deterministic optimizer, plugin system, audit trail, and 83 passing tests in headless continuous integration.
In Solo-Exploration-Lab, I optimized PyTorch and SQLite data pipelines to process 2.1M+ objects at 45,000 rows per second while achieving 99.8% least-recently-used cache efficiency.
I also build containerized reinforcement-learning environments, computer-vision gesture controls, and full-stack React, TypeScript, Express.js, and FastAPI systems with clean architecture, automated testing, and deployment ownership.
