- πΌ Full-Stack Developer at Meituan, building production-facing web and backend systems.
- π Software Engineering student, focusing on AI infrastructure, backend systems, and product engineering.
- π€ Interested in LLM agents, RAG, inference acceleration, distributed systems, and generative models.
- π§ Currently studying source code, system design, deep learning systems, and production-grade AI engineering.
- βοΈ I write technical notes and interview guides on my blog: liangqianxing.github.io.
- π οΈ I enjoy building tools that turn research ideas into usable products.
| Time | Organization | Role | Type |
|---|---|---|---|
| 2026.05 β Present | Meituan | Full-Stack Developer | Internship |
| 2026.04 β 2026.05 | vivo | Agent Engineer | Internship |
| 2025.12 β 2026.03 | Westlake University | Visit Student, NLP Lab | Internship |
Frequently used: Python, C++, TypeScript, React, Next.js, FastAPI, PyTorch, Docker, Linux, GitHub Actions.
| Area | What I Care About |
|---|---|
| AI Infra | LLM serving, memory systems, RAG pipelines, evaluation, reliability |
| Deep Learning Systems | Autograd, PyTorch internals, GPU inference, TensorRT / vLLM notes |
| Full-Stack Engineering | React / Next.js, Node.js, FastAPI, databases, caching, observability |
| Generative Models | Diffusion, Flow Matching, DiT, multimodal generation |
| Open Source | Developer tools, source-code reading, technical writing |
| Project | Description | Link |
|---|---|---|
| Blog / Nova Theme | Personal Hexo blog with dark mode, code highlighting, MathJax and visual effects | Visit |
| DeepScientist | AI-powered research management platform | Website |
| MiniCode | Lightweight terminal AI coding assistant with Claude Code-style workflow | GitHub |
Built with β€οΈ Β· More notes at liangqianxing.github.io