AI undergraduate at Nanjing Normal University. I build education technology, research tooling, AI-assisted workflows, and frontend products with an emphasis on reproducible engineering and clear documentation.
| Project | What it demonstrates | Stack |
|---|---|---|
| Zhuoyu Workshop Skill | Reusable Codex workflow for student reports, defense decks, and project delivery | Codex Skill, Markdown |
| PlotWeaver Skillkit | Research plotting workflow from style extraction to reusable academic figures | Python, Matplotlib, Codex Skill |
| NJU Traffic Practicum Coursework | Tencent Kaiwu traffic signal scheduling agents, experiment records, upload tooling, CI | Python, RL, Tencent Kaiwu |
| Zirui Circuit Lab | Electrical-lab tutoring app with circuit solving, diagnostics, and AI teaching feedback | Python, MNA, AI tutoring |
| FastXeBench | Reproducible benchmark for XeLaTeX edit-to-PDF latency and paper artifacts | Python, LaTeX, benchmarking |
| Personal Markdown Online | Full-stack AI-assisted Markdown knowledge base with deployment and database workflows | Next.js, TypeScript, AI |
- AI and education technology: LLM-assisted writing evaluation, circuit tutoring, teaching feedback, and student project workflows.
- Frontend and full-stack delivery: TypeScript, React, Next.js, Vite, Tailwind CSS, state management, deployment scripts.
- Research tooling: reproducible benchmarks, academic plotting helpers, LaTeX templates, and experiment documentation.
- Working style: document-driven development, careful project packaging, and reusable workflows for future collaborators.
| Area | Tools |
|---|---|
| Languages | Python, TypeScript, JavaScript, LaTeX |
| Frontend | React, Next.js, Vite, Tailwind CSS, Zustand |
| AI and data | PyTorch, DeepSeek workflows, evaluation scripts, scientific plotting |
| Engineering | GitHub Actions, Docker, Netlify/Vercel, Codex Skills, MCP-style workflows |
- Email: 1516924835@qq.com
- Location: Nanjing, China

