To combat medication non-compliance, I was the lead developer of a team of 5 that built an app that uses Optical Character Recognition (OCR) technology to create an algorithm to interpret prescription directions and schedule notifications to remind you when to take medications and more. Finalist of the 5th annual Ready, Set, App competition which was sponsored by the NCBCE and Lenovo. Built with Flutter.

I am part of the web team for an open-source website that supports the Atlanta ARTCC (Air Route Traffic Control Center) of VATUSA on the VATSIM (Virtual Air Traffic Simulation Network) platform. Built with Laravel.

I created a privacy-focused, open-source tool to help DECA competitors identify potential penalty risks in their written events. The web app runs entirely on the user's machine to ensure user privacy. Built with React

An AI-powered mobile app that detects and analyzes acne to help users track their skin health over time. Uses a custom YOLOv8 model for real-time acne detection with Firebase authentication and scan history tracking. Second place winner at the Congressional App Challenge. Built with React Native and Expo.

A malicious QR code scanner that uses virtual machines, screenshot microservices, and AI analysis to detect potentially harmful QR codes before you visit them. Helps protect users from phishing attacks and malicious websites hidden in QR codes. Top 10 finalist in DECA's Innovation Plan competition. Built with Flutter.

Lead programmer for FIRST Tech Challenge Team 5064 Aperture Science, a competitive robotics team. I developed the robot's control system using a command-based architecture in Kotlin, implementing autonomous path planning and modular subsystems for competition tasks. I also designed and maintain the team's website.