Summary
Sisi Li is a Full Stack Engineer and Data Science master’s student at the University of Chicago with 10 years of experience building production AI systems and scalable web applications. She combines frontend-first engineering (React, Next.js) with backend orchestration (FastAPI/Django, Docker, Kubernetes, AWS) to deliver reliable, high-performance agentic automation—shipping browser AI agents and automation frameworks at Samsung with >92% execution reliability and 65% workflow time reductions. Her research blends model fine-tuning (Llama, Qwen) and RAG/agent orchestration (LangChain, LangGraph) to produce measurable gains, including a +16% pass@1 improvement and a thesis Agentic ETL that cuts manual feature engineering by ~60%. She has shipped consumer-facing systems at scale (Meituan features serving 500K+ users) and contributed visualization research in IEEE TVCG, reflecting a rare mix of applied ML, HCI, and production engineering. Now based in the Bay Area and extending an SRA internship into industry roles, she’s seeking full-time AI engineering or full-stack positions starting Dec 2025 to build smarter, more human-centered automation.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Tianjin University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Chicago