AI Application Developer · Agent Architecture · RAG Systems · Backend / Full-Stack Engineer
| Project | Description |
|---|---|
| ForgeAgent | Enterprise AI Agent — Plan-and-Execute architecture with Planner / Actor / Learner, LangGraph runtime, SSE monitoring, MCP tool support |
| RAG Engine | Full-stack RAG system — hybrid retrieval + reranking + RAGAS evaluation, 45%+ accuracy over naive RAG |
| auto-trend | GitHub Trending auto-analysis — AI-powered summaries of trending repositories |
role: AI Application Developer
location: Guangzhou, China
education: B.S. Computer Science @ South China University of Technology (2023–2027)
focus:
- Agent Architecture (MoE, Plan-and-Execute, ReAct)
- RAG Systems (hybrid retrieval, reranking, evaluation)
- Multi-Agent Orchestration & MCP Protocol
- Backend Engineering (Python / Go)
currently:
- Building ForgeAgent — enterprise AI agent platform
- Building RAG-ENGINE — full-stack enterprise RAG system
- Exploring lightweight agent frameworks for production
- Setting up RSS + LLM automated content pipeline
- Learning Go microservices with Kratos
- Seeking AI application development internship- 🔭 Current focus: Agent architecture & RAG systems — making LLMs production-ready
- 🌱 Learning: Go microservices (Kratos), agent evaluation methodology, Vibe Coding workflows
- 💡 Philosophy: LLMs are powerful APIs that need engineering orchestration — not magic, just good systems design
- 📫 Reach me:
2103859514@qq.com· GitHub · docs.int2t.com - 🌐 Website: int2t.com · auto-trend