Incoming Computer Engineering student at Washington University in St. Louis. I build AI infrastructure, RAG pipelines, dataflow executors, agent reliability systems, and study what happens when they go wrong.
LawAI — Privacy-aware RAG legal assistant. Enforces document-level access via Auth0 FGA (HR sees salary docs, engineers denied). RAG pipeline with Pinecone + multilingual-e5-large embeddings. Includes AI evaluation framework using DeepSeek judge to score responses on safety, specificity, and actionability. Next.js 15 + DeepSeek V4 Pro.
Lesson Plan Generator — RAG system for 95K+ curriculum chunks. ChromaDB + Qwen LLM. End-to-end pipeline with OCR error correction and semantic search. Deployed in rural Guizhou schools.
StatsifyFinance — AI financial analysis. DeepSeek V3 streaming, LangChain orchestration, dual OCR (Tencent + Baidu) for document understanding.
BiphFlora — Plant encyclopedia with image recognition. Built a searchable database of plant species with identification features.
Languages: Python, C/C++, TypeScript, JavaScript
AI/ML: PyTorch, RAG, Vector Search, LLM APIs, CUDA
Databases: MongoDB, Redis, Pinecone, ChromaDB
Frameworks: React, Next.js, Node.js, Express
Tools: Docker, Linux, Git
- MLH GenAI Auth0 Privacy-Aware RAG Bot challenge completed
- BlueDot Impact AI Safety Fundamentals international cohort
- 2nd place at Moonshot 48 Hackathon (built a smart white cane with YOLOv5 + GPS + AI voice in 48 hours)
- AIME qualifier (2022) · 11 AP 5s
- 📫 How to reach me through email: y.qin@wustl.edu · lqn458@gmail.com
- 👨 My personal website: www.leoqin.com