- 💻 Focused on Java backend development, distributed systems, and solid engineering practices
- 🤖 Currently building an AI application platform with support for model access, RAG, Agent management, and MCP integration
- 🌱 Moving from Java backend into Python / FastAPI / LangChain / AI engineering
- 🛠 Enjoy turning complex requirements into clear architecture and practical systems
- 📚 Care a lot about maintainability, delivery quality, and real production value
1. Building an AI application platform
2. Combining backend engineering with LLM capabilities
3. Designing scalable architecture for real production scenarios
4. Learning deeper AI infra / model integration / agent workflows
An AI application platform that supports model access, knowledge base management, agent capabilities, and extensible AI services.
Highlights
- Multi-model access and configurable vendor/model selection
- RAG knowledge base workflow
- Agent management capabilities
- MCP service integration
- FastAPI-based backend architecture
- Designed for both ordinary users and advanced users
Tech
FastAPI · Python · LangChain · PostgreSQL · Redis · Docker
- Ship a usable AI platform MVP
- Improve system design documentation and architecture clarity
- Deepen Python + FastAPI engineering ability
- Build stronger AI application engineering experience
- Keep writing cleaner, more maintainable backend code
