Ruiqi Tian

About

I build AI systems that turn unstructured information into actionable intelligence. With a Master's in Electrical and Computer Engineering from the University of Waterloo — specializing in AI/ML — I've spent the past two years designing RAG pipelines, developing autonomous AI agents, and shipping full-stack applications that bring research into production. My work spans the full AI development stack: from building retrieval-augmented generation systems that give LLMs access to domain-specific knowledge, to architecting multi-agent frameworks that reason, plan, and execute complex workflows. I designed a RAG pipeline processing 10,000+ documents with sub-second query latency and built a multi-agent code review system that reduced manual review time by 35%. Tech I work with: Python, PyTorch, LangChain, LangGraph, OpenAI APIs, vector databases (Pinecone, ChromaDB, FAISS), React, Node.js, FastAPI, Docker, AWS. I'm seeking AI engineering roles where I can build the next generation of intelligent systems. Open to opportunities in Canada.

Experience

Education