Engineer by training,
growth and learning leader by craft

I’m an engineer with an MBA, based in Dubai. I build learning programs and AI tools, and I’ve worked with companies in energy, oil and gas, mining and metals, manufacturing, food, automotive, and insurance. I also train in person, and I wrote How to Speak in Public Without Running for the Exit.

My work now is mostly helping companies get people to use AI at work, and making sure training connects to the job people actually do.

I started my career as a mechanical engineer in the United Arab Emirates, with a Bachelor’s in Mechanical Engineering from the American University in Dubai, a graduate program, and a few years in the workshop. The work was satisfying, but the part I kept gravitating toward wasn’t the engineering. It was the moment a mechanic finally understood why a system behaved the way it did, and the look on their face when the “rule” they’d been following for ten years suddenly made sense. That look pulled me into a different career entirely.

My first role in learning was as an in-house technical trainer, building automotive curricula across the UAE. Since then I’ve worked as a consultant, designing leadership and sales academies, succession-planning frameworks, and AI-assisted learning programs for Fortune 500 clients in the Middle East, Europe, the Americas, and Asia, across automotive, insurance, financial services, energy, and safety-critical industries.

Most of that work comes down to the gap between what a person knows and what they can do under pressure. I’ve built a management academy, an executive program with 95% satisfaction, a succession-planning framework backed by performance analytics, and an AI-assisted dashboard that shows the return on L&D the way finance teams show it for everything else.

In 2025 I published my first book, How to Speak in Public Without Running for the Exit. It’s a 117-page field guide written from the perspective of an introvert who became a corporate trainer by accident, and it argues that fear of speaking is mostly about how you see yourself, and that technique only works once you’ve made peace with your own voice. Around the same time I started building. Small tools at first, the kind that solve a Tuesday afternoon problem and never get shipped to anyone else. Then bigger ones: AI agents that actually do useful work in learning and safety operations, learning design pipelines built on the Anthropic API, retrieval systems built around what a learner is trying to do.

What I’m thinking about right now

Lately I keep coming back to what AI fluency looks like in the daily work of knowledge workers, how to design learning that changes behavior without waiting for a perfect business case, and how people and AI agents should split decisions in safety-critical work, where a wrong call can hurt someone.

What I’d love to hear from you about

Anything in the territory above: a framework you think I have wrong, an essay I should read, a safety leader trying something new, a book I’d like, or an idea you can’t find anyone else to think through with. The fastest way to reach me is the Connect page.