I see myself as someone doing long-term engineering note taking in public
Most of my attention goes to AI infrastructure, MLOps, Kubernetes, Docker, CI/CD, and the messy parts of delivery and operations that show up once systems leave the whiteboard. I care less about listing commands and more about the reasoning behind them.
This blog started as a way to stop losing useful experience. A lot of engineering lessons get re-learned because nobody writes them down while they are still fresh. Over time it became a place where I try to turn those scattered notes into something more durable and useful for other people too.
If you keep reading, you will probably notice my bias quickly. Less generic theory, more concrete judgment. When Kubernetes is worth the cost, when it is not. When a failure is really a tooling issue, and when it is actually a platform design problem wearing a tooling mask.