About

I have spent 15 years building data and AI systems from the ground up. My work has moved through data engineering, machine learning, and applied generative AI, across industries, team sizes, and problems that rarely had clean answers. I founded my own consulting firm, grew it to 13 people, and delivered AI and data platforms for clients in gaming, finance, e-commerce, and logistics. I have led cross-functional teams, worked closely with executive stakeholders, and shipped systems that had to hold up when it mattered.

That range shapes how I think. Good AI work is not just a technical problem. It is an organizational one too, and I have always cared about both sides of it.

Building AI that holds up in the real world.

Right now I am finishing a Master of Science in Artificial Intelligence for Business at Arizona State University, where my focus has been on agentic systems, model evaluation, and what it actually takes to get AI into production reliably. Going back to school was a deliberate choice. I wanted to go deeper, not just keep pace with a field that is moving faster than most people realize.

This site is where I write about what I am working on and thinking through. The posts here cover applied AI, data architecture, the distance between research and production, and the decisions that quietly shape all of it. If something here is useful to you, I am glad you found it.