I connect business goals, workflows, data, and technical implementation.
I have built internal AI tools and business-ops software for multiple companies, helping teams unlock productivity gains and capabilities that were previously difficult or impossible.
My focus is practical AI adoption: identifying where AI creates leverage, designing the right architecture, and building systems that fit into real business operations.
Fractional CTO support that reduces risk and turns strategy into execution:
- AI adoption and roadmap: identify realistic AI opportunities and choose a first project worth building.
- Architecture and execution: design systems that connect data, workflows, product needs, and maintainable software.
- Team building and hiring: mentor engineers, scope roles, and hire for the skills your roadmap actually needs.
- Feedback loops: measure whether systems work, improve them with real usage, and keep behavior predictable.
With a Ph.D. in Physics and experience as a Principal Engineer, I bring first-principles thinking to software architecture and delivery. I do not chase AI hype. I build working systems that can be evaluated, operated, and improved.