I build production-grade backend systems and AI integrations with Java/Spring and Python/FastAPI.
- Scalable backend architecture and API platforms
- AI integration with OpenAI API, LangChain, and RAG pipelines
- Performance, reliability, and maintainable engineering practices
- End-to-end delivery from design to deployment
- Backend: Java, Spring Boot, Python, FastAPI, Go
- Data: PostgreSQL, MySQL, Redis
- Infra: Docker, Kubernetes, AWS
- AI: OpenAI API, LangChain, Retrieval-Augmented Generation (RAG)
I use GitHub Copilot, Claude Code, KiloCode, and Codex to accelerate development, refactoring, test scaffolding, and documentation while keeping architecture and code quality standards high.
- xlitellm - Python project for AI workflow experimentation
- multi-tenant - Java backend architecture sample
- simulate-summarize - Java service-oriented implementation
- x8-client - Python client-side integration project
- ex-currency - Java backend service example
- stockman-api - Python API project