This is a research paper conducted at Fredonia University covering a novel technique to rank code against other pieces of code based on quality metrics using deep learning and natural language processing approaches. This research was self-directed, providing me with valuable experience in designing machine learning models and developing comprehensive test cases. 

A browser-based platform for executing image enhancement ML models locally, optimized for flexibility across devices—supporting lightweight models on mobile and high-performance models on desktops.

Initially developed for a database class at Fredonia, this project was expanded into a comprehensive shipment management system. for the fictional "UNSPS" organization, that needed a comprehensive package entry, assignment, and public tracking system.

This is a fork of Taskplay, an unmaintained program that adds media control buttons to the taskbar. My enhancements include utilizing Windows 10 Runtime APIs for a dynamic, content-aware experience.

This was a utility developed for CSIT 431 at Fredonia. It is designed to enable journaling for text files in a folder. This gave me experience in designing the structure of a program in a way where multiple people can be assigned different parts, software project management, and leading multiple people in one codebase.

This is a webpage developed to be a basic frontend for "SCA", a C++ source code analysis program made for detecting issues that do not throw compiler errors.

I maintained the code for a car port of openpilot that was used by multiple Honda Clarity owners. This work was eventually merged into sunnypilot, a fork of openpilot with hundreds of users.