Serious systems need clear thinking.

I came into this work through Linux, operations and the practical responsibility of keeping systems available. That path led through SRE, platform engineering, infrastructure as code, delivery automation and observability.

Today, the same questions matter around AI: what is allowed to happen, where does the evidence live, how does the system fail, and who can understand what happened afterwards?

I lead teams, stay close to the technical work and teach because a good explanation can change the quality of a decision. The aim is not to make complex systems sound simple. It is to make them clear enough that people can work with them honestly.