I am an AI Engineer. My work sits at the layer between humans and large language models — the infrastructure that determines whether AI is actually useful or just impressive.
That layer is mostly unsolved. Routing, retrieval, context management, tool interfaces — these are not glamorous problems. But they are the ones that matter in production.
My focus is on LLM orchestration, RAG systems, and Model Context Protocol. I build the architecture that makes AI agents reliable enough to trust with real work.
I think AI is a tool. A serious one. The conversation around it should probably reflect that.
In my current role I've brought full-cycle development from weeks to under 48 hours, reduced manual overhead by ~5 hours per update cycle through MCP integrations, and maintain around 40 automated workflows in production.
I don't use the word problem. Everything is a task — it either has a known solution or needs a better architecture.
I'm based in Ukraine. I work wherever the work is interesting.