South AfricaWhere it started
I grew up in South Africa—which shapes how I see problems, systems and inequality. It gave me an instinct for the gap between how things are supposed to work and how they actually work, and a preference for practical solutions over elegant theories.
Computer Science & AIStudying how machines think
I studied Computer Science with a focus on AI and digital image processing. Long before today's GenAI wave, I was working with the fundamentals—understanding how machines represent data, learn patterns and make decisions. That grounding still shapes how I think about AI adoption today.
MBA in GermanyLearning to think about business
An MBA in Germany pushed my thinking from technical to operational and strategic. It put me in rooms with people building and running organisations, and gave me a framework for thinking about how businesses actually work—and where they usually get stuck.
IBM WatsonEarly enterprise AI, on the ground
Working on IBM Watson in Africa was formative. Enterprise AI before the hype—helping clients figure out what cognitive technology could actually do versus what it was being sold as. I learned that the hard problem in AI is almost never the technology.
Startups & scale-upsBuilding things from the inside
Up Learn and Morressier gave me deep operating experience—building systems, scaling teams, designing how work gets done. There is a particular satisfaction in taking something messy and making it run. That is the work I find most energising.
LinkedInWorking at global scale
Through LinkedIn Learning I worked with global organisations on learning, capability and AI adoption. Working at scale forces clarity: what actually changes behaviour, what just produces activity, and what is the difference between learning that sticks and learning that doesn't.
RunningA 2:27 marathon and counting
Running is where I think. A 2:27 marathon is the product of years of consistent, deliberate work—the same principle I apply to everything. I also coach runners of all levels: the process of helping someone improve is something I genuinely love, whether that's in a race or an organisation.
Systems & fairnessI like fixing broken things
I have a particular interest in systems that don't work fairly—airline dispute resolution, legal and insurance processes, customer systems that are designed to frustrate. I've won cases that weren't supposed to be winnable. There is something deeply satisfying about applying rigour to a system that assumes you won't.