Bad architecture rarely announces itself. It compiles, it demos, it ships — and then, eighteen months in, every new feature takes three times as long as it should and nobody can quite say why. The cost of a fuzzy design isn't a crash. It's a slow tax on everything you build afterward.

I produce the system design and the artifacts to back it — high-level through low-level, the diagrams, the integration contracts, the decisions and the reasons behind them. Layered and strict: a predictable structure the rest of your team (and, increasingly, your AI tools) can be pointed at and told to conform to. Boring, deliberate, and extendable without archaeology.

The layering I use everywhere: clear separation from the HTTP surface down to the data, hand-rolled mapping over magic, audit fields and soft-delete as defaults, one aggregate per boundary. It's not exotic. That's the feature. Predictable systems are the ones that survive team turnover, scale changes, and the feature nobody saw coming.

Master-data and data-quality domains. API-first and service-oriented design. Event-driven workflows. Proof-of-concept systems that have to prove the right thing before you spend real money — like the regulatory content-monitoring POC I built on ASP.NET Core microservices with an Angular front end.