Building reliable agentic systems, developer tools, and AI-native products.
I'm a backend engineer with 9+ years of Java experience, now focused on AI Agent application engineering.
I work at the boundary between mature software engineering and LLM-based systems — turning model capabilities into systems that can actually connect to tools, data, permissions, workflows, and production environments.
My current interests are not limited to building demos. I care more about how agents are orchestrated, observed, constrained, evolved, and shipped.
From backend systems to agentic systems.
- Agent Architecture — Agent Loop, ReAct, planning, tool orchestration, multi-agent collaboration
- Context & Memory — context engineering, memory compression, long-running task state
- Tool Ecosystem — Tool Calling, MCP, Skills, Agent Gateway, AI IDE integration
- Knowledge & Data — RAG, retrieval pipelines, structured / analytical data access
- Product Engineering — turning AI capabilities into maintainable, production-ready products
Build things. Learn deeply. Keep evolving.