About
I got my first PC in 2004, though my curiosity about computers started earlier. I spent a lot of time around that machine, trying things and learning how they worked.
After engineering, that curiosity took me from working with computers and networks to supporting a research institute’s infrastructure, running my own technology consulting practice, and eventually working on AI products.
I care about what a product must do, how people behave around it, and how to bring them together.
My technical background makes me interested in what happens beneath the interface. I want to understand where the data comes from, what the system assumes, and how it behaves when something goes wrong, and how those details affect what a person can reasonably expect from the product.
Data helps me examine whether an explanation holds up. I try to understand what a measurement captures and what remains outside it before using it to justify a decision. Reading, research, and experiments give me ways to question my first answer and correct it.
Things I build and share
I build tools to help with my own work, and AI has made it easier to get an idea into a form I can use and test. Some help with tasks I keep repeating; others help me investigate a question. I’m sharing selected ones in the Work section.
Writing helps me examine the reasoning behind my decisions. Putting an explanation into words makes it easier to see what I understand and where I’m still uncertain.
Away from work
I travel often, spend time in nature, and enjoy observing how people go about their lives. My reading moves between technology, design, psychology, economics, and history, depending on what has caught my attention.
These interests influence how I think and shape my taste in products.