From machine learning to AI to this.
It started with a question that wouldn't leave me alone: can you teach a machine to understand what people actually want? That question pulled me into the deep end of machine learning and recommender systems.
For over a decade, I built the algorithms that decide what you see next: recommendation engines, ranking models, personalisation systems across e-commerce, retail, and gaming. The kind of work where you're constantly modelling human intent, figuring out the gap between what someone asks for and what they actually need.
That's the same problem at the heart of Cybergine. When a customer messages a business at 11 PM asking about availability, there's a world of context behind that simple question. The ML background isn't incidental to what I'm building here. It's the whole reason it works.
Why I left big tech
"In a previous role, I watched enterprise chatbot vendors charge a high five-figure annual price tag for systems that couldn't hold a coherent conversation. Meanwhile, small businesses, the ones who'd benefit most from automation, were priced out entirely. I decided to close that gap myself."