AI systems
Agents, evaluation loops, model boundaries, and useful automation.
wolkengrube.de
Data / AI / Systems
Turning data into insight. Building systems that work.
def explore(system):
model = learn(system)
return build(model)
Short intro
A small place for technical notes from the cloud layer.
I write about AI-assisted engineering, data platforms, infrastructure, and the practical architecture decisions that happen between idea, notebook, pipeline, cluster, and production.
Current themes
What I am tracing right now
AI-assisted coding
Working with coding agents, review habits, and human-in-the-loop flow.
Cloud native architectures
Workflows, Kubernetes patterns, deployment paths, and observability.
Databricks
Lakehouse workflows, notebooks, jobs, governance, and platform habits.
Analytics architecture
From raw signals to governed datasets, usable models, and calm operations.
Tiny experiments
Small tests, notes, migrations, and repeatable discoveries in public.
Tiny experiments
Coming soon
Short field notes, architecture sketches, and small experiment logs are being shaped here. The goal is not polished certainty, but useful traces.