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Farid Gurbanov

Portfolio

Three sibling repositories told as one story: govern the models, build a trustworthy product on them, deliver software with agents. This is the “I build AI, not just advise” proof.

Govern → build → deliver

  1. 1Govern & route the models

    sovereign-llm-gateway

    Working — runs end-to-end

    What it proves

    A working LLM gateway: per-agent cost and budget enforcement, vendor abstraction (LiteLLM), a local-model fallback (Ollama) for sovereignty, and Prometheus observability. Runs end-to-end with `docker compose up`.

  2. 2Build a trustworthy agentic product

    sovereign-copilot

    Reference architecture

    What it proves

    A reference architecture for a trustworthy copilot: deterministic tool contracts (MCP), retrieval grounded in your data (BGE-M3 + reranker), L1–L4 evaluation gates with goldens, and answers that trace to a recorded call chain.

  3. 3Deliver software with agents

    maestro

    Reference architectureMIT

    What it proves

    A reference architecture for spec-driven delivery: agents propose, humans dispose. Functional and technical gates enforced through GitHub branch protection across a multi-repo, multi-participant product.

Repository links are not yet public. The repos are being aligned under one name, neutralized and licensed before they carry my name on a public surface — descriptions are honest now; links follow.

One of these runs end-to-end today; the other two are reference architectures. They are not three production systems, and I will not pretend otherwise.