Developed a conference website as part of a team. Contributed primarily to the Schedule page, Sponsor section, and About Us content on the homepage. Built using Next.js, SCSS, and TypeScript.
During my time at SGA, I worked as a full-stack developer focused on this project. I led development of the Attendance, Meeting, and User APIs, implemented frontend authentication hooks, and resolved issues on the Profile page. The application was built with TypeScript, Next.js, and Prisma.
Built a full-stack note-taking app with a Go backend, React frontend, and PostgreSQL database, gaining experience in authentication, CORS, and frontend–backend integration.
Developed an AI-powered QR code trustworthiness analyzer in a 6-person hackathon team, building a FastAPI backend with OpenAI GPT integration to analyze QR content, achieving 78% detection accuracy and identifying multiple security risks.
Built a bare-metal operating system in Rust with async/await, a custom test framework, VGA output, memory allocation, and IDT/GDT support, strengthening my understanding of low-level systems and hardware interaction.
Collaborated with a peer to develop a foundational NLP model in Python for text evaluation and generation based on training data. This project deepened my understanding of core AI principles and the mathematical foundations underlying modern machine learning systems.
Developed this website using Next.js, React, and TypeScript. The source code is not publicly available.
Collaborated with a team of 6 to build a Streamlit-based resume platform backed by a Flask API and PostgreSQL database, featuring 15+ pages, 35+ routes, and structured storage for 100+ records.
Developed a high-performance C-based command-line shell supporting internal and external command execution with I/O redirection, designed to replicate standard Unix shell behavior while achieving ~0.001 ms response times.
Built a full-stack lending application with a team of 4 for the LiveAI Hackathon, earning 2nd place in FinTech, using Next.js and Flask.
Built a full-stack discount clothing platform using Svelte, Go, and PostgreSQL, supporting search, filtering, and 100+ items across 4 brands with ~20 ms response times.
Engineered a Rust Actix web service with PostgreSQL and Diesel ORM, containerized with Docker for easier deployment and validated with 20+ tests raising coverage to 87%.