Field notes from the data terrain
Charting the ground between raw data and working AI systems.
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Note of the week
Most pipeline failures aren't dramatic crashes, they're quiet schema drifts upstream that nobody notices until a dashboard looks slightly wrong three weeks later. Treat your data contracts with the same rigor as your API contracts, because the cost of skipping that discipline just shows up later, disguised as a debugging session.
What I do
Data pipelines
Ingestion, transformation, and orchestration that hold up under real production load.
AI integration
Wiring Claude and other models into products as features, not demos.
Applied AI features
The interface layer on top — the part your users and customers actually touch.