An AI builder who thinks beyond the technology.
I see myself as an AI entrepreneur and builder. I work across the AI journey: building products, advising organizations, helping teams develop the capability to use AI, and creating communities where builders learn from one another. My perspective comes from working across these different sides of AI, not just studying them.
For more than 20 years, I worked across technology, from software engineering and enterprise architecture to consulting, product development, and technology leadership. For most of that time, I could see how a system should work, but depended on product and engineering teams to bring those ideas to life. AI changed that. For the first time in my career, I didn't just see possibilities. I had the ability to explore them myself. I could think of something, build it, test it, break it, and learn from it.
Today, I'm focused on helping people and organizations use AI well: finding the right problems to solve, building practical solutions, developing the skills to work with them, and learning from others who are doing the same. I believe AI creates value only when people can actually use it.
The journey
Eight chapters, one throughline.
Hover a year — or use the arrow keys — to read the chapter. It moves on its own if you leave it alone.
I began my career in software engineering before moving into consulting, where I spent roughly fifteen years progressing through technical, client-facing and leadership roles — from consultant to manager and eventually director.
That period built my commercial instinct. I learned how technology work is sold, scoped, negotiated, delivered and measured against business expectations.
It also taught me that good architecture is not only technically sound. It must be understandable, fundable, and aligned with the organization's priorities.
Background
The best technology is not necessarily the most sophisticated. It is the technology that people understand, organizations can support and customers genuinely need.
I began my career as a software engineer and spent the following two decades working across consulting, architecture, engineering leadership, cloud, data and product development.
The emergence of generative AI brought these different parts of my career together — an opportunity to combine strategic thinking, technical architecture, product building and education in one field. Today, I advise organizations, build AI-native products and help professionals develop practical AI capability.
This is not work I approach from the sidelines. I build, test, teach and learn continuously.
- 20+ years in technology and engineering
- Enterprise consulting and architecture leadership
- Cloud and data work at organizations including Amazon and DataStax
- Engineering and product leadership
- AI product development and venture building
- AI workshops, meetups and builder communities
Purpose · Focus
AI is my ikigai
Four circles. One center. This is where I focus.
Pick a circle — or use the arrow keys. It cycles on its own if you leave it alone.