Product Engineer · Full-Stack Software Engineer · AI-Native Development
I build software end to end, from understanding the product problem and shaping the architecture to implementation, delivery, and iteration.
A large part of my current engineering workflow uses AI agents. I focus on the system around them: scoped tasks, project knowledge, static analysis, automated tests, CI, review, and feedback loops that turn recurring failures into reusable constraints.
The case study documents engineering decisions behind a deployed SaaS product I build independently: offline-first synchronization, multi-tenancy, authorization, auditability, compliance-informed product design, architecture trade-offs, and AI-assisted delivery. The product source remains private; the case study shares the decisions and evidence that can be exposed safely.
Executable static-analysis rules derived from recurring architecture and correctness failures. A real timezone defect led to root-cause analysis, three lint rules, automated tests, and CI checks designed to catch future occurrences earlier.
C# / .NET · Flutter / Dart · TypeScript / Next.js · PostgreSQL / SQL Server · Supabase · Linux · CI/CD