
AI Infrastructure Lab
Local models, connected tools, and lessons from the workbench.
Personal lab / ongoingDigital systems consultant
Systems.
Automation. Experiments.
I build, break, and improve digital systems.
Frankfurt Córdoba

Selected work
Personal projects / always learning

Local models, connected tools, and lessons from the workbench.
Personal lab / ongoing
One room-first dashboard. A home that is easier to use.
Personal home / ongoing
Self-hosted services, connected carefully and kept running.
Personal infrastructure / ongoingOriginal pixel artwork; project details document the actual work.
How I work
A clear problem and a way to judge the result.
A small system map. Clear responsibilities.
Something usable, with room to learn.
Evidence, a useful handover, and the next iteration.
Start with the person using the system. Look at the friction, the constraints, and what a useful result would actually look like.
Trace the flow of information. Make ownership, access, dependencies, and failure modes explicit before adding another tool.
Connect the essential pieces first. Automate repeatable work, keep changes reversible, and use AI where its output can be checked.
Test actual behavior, including when something is unavailable. Write down decisions, recovery steps, and what still needs work.
In Home Assistant, I brought scattered controls into one room-oriented dashboard. The starting point was how the home is used.
Home Automation ↗In the AI lab, the interface, model gateway, and inference service have separate responsibilities and explicit tool boundaries.
AI Infrastructure Lab ↗A VM that looked “running” had stopped answering. The incident changed what I check: a real request, not just a green status.
Recovery field note ↗From the workbench
The VM looked alive. The inference service was not. A reset problem that needed a physical recovery.
The home interface became simpler when there was one obvious place to start.
The best infrastructure is the kind nobody notices.