Candidate file · 2026
Zhao Yanbing
AI Agent / LLM Application Engineering Intern
I turn ideas into inspectable, runnable work, with a focus on AI Agents, LLM applications, and full-stack engineering.
This is an English summary. Read the complete Chinese résumé for the original experience and education record.
Selected profile
Engineering work with evidence.
AI Agent applications
Agent workflows, event contracts, evidence review, human approval, and transparent degradation paths for unreliable external model runs.
Full-stack systems
TypeScript, React/Next.js, Go, Python, PostgreSQL, SSE/WebSocket, Docker, continuous checks, and end-to-end regression practice.
Public project evidence
Agent Arena, TrustOps, and EcoMatrix connect implementation to tests, documentation, project source, and explicitly stated limits.
Project leadership
Programs and competition experience.
Seed Fund Project
Project Lead
National College Student Innovation and Entrepreneurship Training Program
Project Lead
Challenge Cup
Competitor
Strengths
How I approach building.
- Turns ideas into runnable work, with code, tests, demos, or project documentation retained for core projects; unfinished work is documented with its reason and next step.
- Has experience in module decomposition, interface integration, and code collaboration; defines state, messages, and responsibility boundaries before connecting pages and model calls in multi-agent systems.
- Maintains open-source AI applications and learning products; uses competition awards and public work to test engineering implementation.
Original file
Read the full Chinese résumé.
The official two-page PDF contains complete education, skills, internship experience, project records, competition honours, and direct links.