FrontEnd & Full-Stack Developer | Frontend Engineering β’ Monorepo β’ AI
Frontend engineering lead and full-stack developer with a strong focus on Monorepo, unified toolchains, and performance optimization. I drive build pipelines from 8min down to 2min, ship cross-platform apps (Web / Desktop / Mobile), and integrate AI (RAG, multi-model) into production products.
What I Do:
- ποΈ Own Monorepo and unified CLI/toolchain (Webpack, Vite) to improve build speed and code reuse
- π¨ Build modern frontends with React & Vue 3, and full-stack apps with NestJS and Python (FastAPI / Flask)
- π± Ship Electron and React Native apps with shared code and platform-specific optimizations
- π€ Integrate RAG and multi-model AI (Dify, Ollama) for intelligent features and automation
- β‘ Optimize performance end-to-end: build cache, virtual scrolling, Rust WASM, and CI/CD automation
Current Focus:
- π Working on: ASAIR (AI customer service platform), Pixuli (cross-platform image management)
- π± Learning: RAG systems, multi-modal AI, advanced frontend performance patterns; AI architecture β how to design an excellent AI architecture
- πΌ Open to: Full-time opportunities in FrontEnd, Frontend Engineering, Full-Stack
- π§ Contact: starsky.zhanglinjie@gmail.com
Frontend & Engineering
- Monorepo and unified CLI/plugin systems (Webpack, Vite); multi-project toolchains
- React & Vue 3 (Hooks, state management, SSR with Next.js)
- TypeScript, modern CSS (Tailwind), performance optimization (virtual scroll, lazy load, code splitting)
- Build and cache optimization; CI/CD automation
Cross-Platform
- Desktop: Electron; shared code across Web, Desktop, and Mobile
- Mobile: React Native for iOS/Android
- High-reuse architecture (e.g. 75%+ code reuse in Pixuli)
Backend & AI
- NestJS microservices, multi-tenant and multi-storage adapters
- FastAPI / Flask for Python services; PostgreSQL, Redis, MySQL
- RAG and multi-model AI (Dify, Ollama); voice transcription (e.g. faster-whisper)
| Project | Description | Highlights |
|---|---|---|
| ASAIR | Tenant-level AI customer service (multi-channel, smart chat, human handoff) | React, Vite, Flask, FastAPI, Dify, faster-whisper; message sync >99%, AI dialogue efficiency +50% |
| Pixuli | Cross-platform image manager (Web / Desktop / Mobile): upload, compress, convert, cloud, AI analysis | GitHub | Web Demo β Monorepo, NestJS, virtual scroll, Rust WASM; 3β5Γ compression, 60%+ load improvement |
| Synthia Engine | Frontend tooling for build, cache, and collaboration | Webpack & Vite plugins, Monorepo for 10+ projects; build 8minβ2min, CI/CD automation, ~30% fewer bugs |
Key Results:
- π Monorepo and unified toolchain: build time cut significantly, code reuse and collaboration improved
- π± Cross-platform products (Pixuli) with shared code and performance gains (virtual scroll, WASM)
- π€ AI integration (RAG, multi-model) in ASAIR and Pixuli for smarter workflows
- π§ CI/CD and engineering practices that reduce release errors and bug rates
Let's collaborate on exciting projects or discuss opportunities!