Engineering, data and leadership. Only what I learn building for real.

Before thinking about the decisions data could drive, I had to figure out what to collect, how to collect it, and what to set up first.

How AI transformed UEEK's engineering pipeline, and what it means for small teams that always had to choose between speed and quality.

Can intersectorally collected data in the engineering pipeline help make more assertive decisions? And what to structure for that to happen?