I build AI systems around business problems, not the other way around. And my background in process optimization means I design lean first. I understand the constraints, metrics, and what actually moves the needle, then I engineer it properly. The result is: production-grade, measurable, actuallyused. On the technical side: agents that reason across multiple steps and perform actions, LLMOps pipelines with real observability, backend architecture designed for scale and decoupling from day one. I operate across the full lifecycle, from whiteboarding with stakeholders to shipping production code, and I hold strong opinions on where complexity should and shouldn't live.