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kthneighbor/README.md

Hi, I'm Valentin

I build data platforms and agent systems, the infrastructure that contains them, and the governance that keeps them defensible. Databricks, Azure, Terraform, enterprise delivery since 2017, embedded in client teams wearing various hats (data scientist, data engineer, data architect, platform engineer, data platform architect, tech lead), as principal consultant responsible for a consultancy's DataOps & Databricks business line, and as tech lead of a 10–15-person core data platform team.

One shape throughout: build the thing that isn't there yet, then hand it over.

Here

  • EpOps reference card — eight ways AI-augmented knowledge work rots, each with a countermeasure. CC BY 4.0.
  • Corpus convention — definitions from my own toolchain, published as I get the time to ready them for wider consumption.

Not here — Hoopoe, a governed multi-agent harness running a full SDLC, in daily use on my own projects. StudioOS, a Terraform platform running agents under container isolation on Hetzner, defense in depth rather than perimeter. Both closed; I discuss the architectures openly. Client code sits in repositories I don't own.

German, based in Uruguay, working through Salix Austral · LinkedIn · Epistemic Engineering

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  1. epops-failure-modes epops-failure-modes Public

    Single-page reference card: eight failure modes of AI-augmented knowledge work, each with countermeasure. Share it, print it, or load it into an agent's context.

    Python

  2. corpus-convention corpus-convention Public

    A metadata convention for markdown corpora that AI agents write to, plus a skill that enforces it and a checker that verifies it.

    Python