I'm Eduard Mezhennyy. I turn local LLM experiments into working backend systems: RAG search, API documentation pipelines, automation services, and Python tools that are easy to run and verify.
My current focus is local-first AI: FastAPI, Ollama, Qdrant, CrewAI, Docker-based environments, tests, and clean operating notes.
| Area | What I build |
|---|---|
| RAG systems | Semantic search over documents, API specs, notes, and internal knowledge bases. |
| Backend services | FastAPI apps with schemas, health checks, logging, Docker, and pytest coverage. |
| Local AI workflows | Ollama-based generation, validation, agents, and practical automation around them. |
| Documentation tools | Services that generate, validate, store, and search technical docs. |
Telegram is the fastest way to reach me: @Eduard_KHV.