B.S. Computer Science and Technology
Coursework: data structures, operating systems, computer networks, computer organization, databases, software engineering, natural language processing. GPA 3.6.
Agent & LLM engineer, based in Beijing
“ I judge LLM applications on reproducible evals and end-to-end traces—not on gut feel. ”
CS undergraduate at Minzu University of China (985). I build LLM-backed services with Python—FastAPI, Pydantic, and async patterns—plus MySQL and Redis. I care about prompt design, structured outputs, tool calling, and agent orchestration, and I’m comfortable shipping with Docker and GitHub Actions. Open source contributor; used to PRs, issues, and code review.
A pipeline-first AI Resume Ops project for high-volume applications. It batches JD parsing, generates resume variants, scores and ranks them, and outputs application strategy so users can make better bulk job-search decisions.
An LLM-powered code review and debugging assistant for teams and local pipelines. It turns diffs and failure signals into graded review findings and verifiable debugging steps, with containerized deployment and CI integration.
155 contributions in the last 6 months
Coursework: data structures, operating systems, computer networks, computer organization, databases, software engineering, natural language processing. GPA 3.6.