- Designed and developed a production-ready Retrieval-Augmented Generation (RAG) web app with PDF ingestion and contextual AI chat capabilities.
- Implemented backend services in Python using FastAPI, LangChain, and Google Gemini Pro to support semantic search and response generation.
- Integrated Redis and Celery for asynchronous task queues, improving responsiveness and scalability.
- Built a responsive frontend using React.js and Bootstrap for file uploads, chat interaction, and displaying AI-generated insights.
- Deployed on a cloud VPS using Docker, Nginx, HTTPS (SSL), and environment-managed API keys.
- Created RESTful API endpoints for document processing and chat flow, supporting up to 3MB PDF uploads.
- Performed data preprocessing using exploratory data analysis (EDA) and KNN-based filtering.
Phong Pham (Percy)
prcpham-dev
Basic info:
University of British Columbia (2022 โ 2026, Anticipated)
prcpham-dev / README.md
๐ฌ Quick start: (เดฆเตเดฆเดฟหแห)
๐ Born to sleep
๐ป Forced to work
๐ Surviving with
while (alive) {
eatSomething(); // ๐ฃ Sushi, ๐ฅฉ anything edible...
writeCode(); // Bugs. Debugs. More bugs.
sleep(); // ๐ด Maybe 7+ hours.
if (isWeekend) {
haveALife(); // ๐ค๏ธ Go outside...
}
}About Me
Hi, I am Phong (Percy)
I am currently developing my skills as a software developer by building personal projects and exploring new tools. My main focus right now is creating web applications, but I would also love to make a game since I enjoy gaming. I have always enjoyed creating things and building tools.
Outside of coding, I enjoy going to the gym, playing games, and watching Netflix, YouTube, or anything new in the cinema. Oh, and food is definitely one of my biggest passions. I cannot go a day without it ๐!
Experience
- Developed responsive web components using React.js, Node.js, TypeScript, Bootstrap, and Tailwind CSS for a client-facing platform.
- Collaborated with backend engineers to integrate and test RESTful APIs using Postman.
- Participated in sprints, design reviews, and deployment planning using Git.
- Gained hands-on exposure to backend infrastructure involving FastAPI and Uvicorn.
Projectsprcpham-dev@portfolio โ /ChatDocument
projects$ ls
cd /ChatDocument
name: ChatDocument
tech: #FastAPI#LangChain#Redis#Celery#React.js#Bootstrap#Docker#Nginx
Developed a Retrieval-Augmented Generation (RAG) app enabling users to upload and analyze PDFs with contextual AI chat. Integrated Google Gemini Pro (2M tokens) with LangChain for embeddings, semantic search, and long-context reasoning. Built a scalable backend with FastAPI, offloading heavy tasks asynchronously using Redis and Celery. Designed a responsive frontend in React.js and Bootstrap for file upload, chat interaction, and insights display. Deployed on a VPS with Docker, Nginx, and SSL certificates, securing API keys via environment management.
