My name is Jordan Junaidi, a Computer Science student at UC San Diego graduating in Spring 2027.

• Email: jjunaidi@ucsd.edu
• LinkedIn: https://www.linkedin.com/in/jordan-junaidi/

This is a simple facial recognition system that I created using OpenCV and PyTorch. It first crops facial images, then uses OpenAI's CLIP model to convert these face images into high-dimensional feature vectors. Then, using a PostgreSQL vector database (pgvector), it conducts similarity search to match up new faces to previously trained ones.

3 friends and I created Form Fitness in 36 hours as our project for UCLA's annual Hackathon, LAHacks. It's an AI-powered, all-in-one fitness app that utilizies computer vision and machine learning to track exercise form in real-time and provide actionable feedback. Furthermore, the app can be used to track daily workouts and provide workout statistics. We used React and TypeScript on the frontend and Flask on the backend, with TensorFlow and Google MoveNet for the computer vision components.

I've been helping work on this open source Go-based CLI tool that scaffolds full-stack projects in minutes, automating repo creation, template setup, and GitHub configuration to streamline onboarding and development workflows.

Created in a full team of developers and designers, Psyches of Color is a mobile app aimed at destigmatizing mental health and raising awareness through interactive activities. This project using React Native on the frontend along with MongoDB, Express.js, Node.js, and Firebase.

Another hackathon project, this team created in 24 hours for UCSD's annual Hackathon, DiamondHacks, Quizski is a gamified learning platform that allows students to earn points by creating and studying flashcards, which can later be spent on a gacha system to collect Smiskis (a type of blind box collectible). For this project, we used the MERN stack with MongoDb, Express.js, React.js, and Node.js.