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  • 01:21 (UTC +02:00)

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kartsan03/README.md
Tymur. Data pipelines and LLM tooling.

I build data pipelines and the tooling around LLMs. Most of what I build never shows up here; the public stuff is whatever stayed useful more than once.

Lately that means bug fixes in LLM and agent libraries. The bugs tend to be the same kind: a layer that reports something other than what the layer under it did.

Upstream

Everything else I've had merged

Projects

  • ai-quality-gate: offline checks for recorded LLM output (schema, grounding, snapshots) that fail CI with an exit code and never call a model. On PyPI as aiqg.
  • actgate: an MCP proxy that holds an agent's tool calls until a person approves them, and records each decision in a hash-chained ledger. On PyPI as actgate.
  • djinni-market-etl: Djinni jobs and candidate profiles in Postgres, with each vacancy tracked until it closes.
  • StableInvoice: USDC escrow invoices on Solana. The client funds a vault up front, and payment goes out in one lump sum once every milestone is accepted.

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  1. ai-quality-gate ai-quality-gate Public

    Offline quality gate for recorded AI/LLM outputs: schema, grounding, snapshot and stability checks with CI exit codes. No API keys, no model calls.

    Python

  2. actgate actgate Public

    Local IntentLedger + MCP stdio proxy: propose, approve/deny, hash-chained ledger. Optional HMAC seals.

    Python

  3. StableInvoice StableInvoice Public

    Escrowed USDC invoicing on Solana. Client funds a PDA vault upfront; accept moves no tokens; settle pays one lump sum when all milestones are accepted.

    TypeScript

  4. djinni-market-etl djinni-market-etl Public

    PostgreSQL ETL for public Djinni jobs & candidate profiles — lifecycle tracking, observations, time-to-close

    Python

  5. rook rook Public

    Creator dossier pipeline: scrape a YouTube or Instagram creator's recent content, score audience engagement, and generate a sales dossier with revenue estimates computed in code.

    JavaScript