My background is in computer engineering, but my career has expanded far beyond one discipline. I have worked across software development, enterprise ERP, databases, infrastructure, integrations, cybersecurity, business intelligence and technology management.

That breadth matters because many important technology problems do not fit neatly inside one team. A production issue can cross application code, SQL Server, infrastructure and business process. A modernization project can require understanding a legacy ERP before choosing what should move into a new API or web application.

The recurring theme in my work is connecting business and technology so people can work faster, make better decisions and spend less time on inefficient processes. When I find a process that only exists because “that's how it has always been done,” my first question isn't how to automate it — it's why it's done this way, and what a better operating model would look like. I don't see efficiency primarily as removing people; I see it as removing unnecessary work so people can redirect that capacity toward higher-value problems.

I also believe applications should form an ecosystem rather than a collection of disconnected solutions. When a capability already exists, it should be reused. When a business rule changes, it shouldn't need to be updated in five different systems.

I have moved into leadership without leaving engineering behind. I lead a team of about six people, and I care more about the judgment they develop than the tickets they close — understanding why a system exists and what changes after it ships matters as much as shipping it.

In recent years, AI-assisted engineering has significantly expanded what I can build independently. Tools such as Claude Code and ChatGPT help me learn unfamiliar technologies, explore architecture and accelerate implementation, while my experience provides the business understanding, technical judgment and production context needed to validate the result.

Outside enterprise work, I build digital products such as Menuras and Worskill. Those projects keep me close to modern web platforms, product decisions, deployment workflows and AI-assisted development.