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Remote: Yes, remote only
Willing to relocate: No
Technologies: Python, FastAPI, LangGraph, MCP, RAG, Postgres/pgvector, Redis, Celery, Docker, LLM evals, TypeScript, Next.js
Résumé/CV: https://www.emanuelecz.dev/emanuele-czofei-cv.pdf
Email: emanuelecz06@gmail.com
Self-taught AI engineer, two years building, four months at a startup. Strongest at the unglamorous half: retrieval that retrieves and evals you can trust.
Shipped a Spanish occupational-safety RAG assistant, Hit@8 0.98 / MRR 0.955 on a human-labeled golden set, evals gating CI. Its LLM-as-judge was passing everything at TNR 0.00, so the suite was decorative, until I traced and rebuilt it to TPR/TNR 1.00.
Building Docent in public: an autonomous support engineer for pydantic/pydantic. ~2k closed issues in pgvector, five-phase agent, LLM-judge gate, eval splits gating CI, cost metering, prompt-injection defense, MCP client and server. https://github.com/emanuelecz/Docent
EU citizen, Spain-based, EOR or contractor. Looking for a small team doing agents, devtools, or AI support tooling.
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