I moved into AI.
I never left engineering.

I’ve spent more than two decades building software across C#, .NET, APIs, databases, cloud infrastructure, and enterprise integrations. That background shapes how I approach AI today.

The questions I care about are practical: What data can the system trust? What should stay deterministic? What happens when it fails? How does it fit into the way people already work?

Architecture with implementation in mind.

Today I work across AI solution architecture, enterprise software, and product development. As a co-founder at Daloy Tech Solutions, I stay close to the decisions between an idea, a working product, and the needs of the people using it.

My strongest work often sits where disciplines meet: a legacy system that needs modernization, a knowledge assistant that needs reliable information, or a product whose architecture still needs to become something a team can deliver.

I still work hands-on. Designing a system is more useful when you understand what implementing it feels like.