I build practical software systems.

I work across the whole path rather than one slice of it: understanding how a business actually works, designing the data model and the interface against the same constraints, building it, then deploying and maintaining it on real infrastructure. Most of the systems on this site I took from an empty repository to something running on a server.

The range is deliberate. Property management, workforce attendance, live video tutoring, file platforms, media applications and legacy modernization each demand something different — real-time media, strict permission models, document generation, import pipelines — and the constraints of one regularly turn out to be the answer in another.

I care most about the parts that are quietly expensive to get wrong: money, dates, permissions and audit trails. A system that is pleasant to use but loses track of a payment has not solved anything. That priority shows up throughout this work — append-only audit logs, ledgers that reconcile, and documents generated from live data rather than retyped.

I also use AI-assisted development as part of the process, in the same way I use any other tool: it accelerates the work, and the engineering judgement about what to build and whether it is correct stays mine.