Technology moves fast, so much so that no amount of tea can quite keep you steady if you don’t keep up! When I think back to when I first started working with technology enrichment over a decade ago, it all began with a fascination for pushing the boundaries of what existing systems could do. It started with small projects—simple microservices in Google Apps—but I was hooked by the possibilities. It wasn’t long before I was knee-deep in developing more complex applications, extending those early microservices into a wider web of automation and functionality.

The original reason I got into application development was just to see how far I could push existing platforms—taking something like WordPress or Shopify and seeing what it could really do when you stretched it a bit. It turned out that extending those platforms opened up opportunities I hadn’t imagined—projects that took me from front-end development to full-stack and beyond. Over time, it became more about the satisfaction of creating something that wasn’t just functional, but something people enjoy using. I wanted to build interfaces that anyone could use, regardless of technical know-how. A good friend once told me that tech should be experienced, not endured, and that idea stuck with me.

Somewhere along the way, I found myself more and more intrigued by machine learning. It was 2015 when I started tinkering seriously with ML, building small models to see what they could do That fascination grew, and over the years, I moved on to designing everything from simple RNNs to large-scale Transformers and Mixture of Experts (MoE) architectures. The challenge has always been to balance staying at the cutting edge of tech while making sure these models are actually useful—that they improve productivity rather than becoming cumbersome or getting in the way.

Integrating AI into workflows has been an interesting ride. There’s something incredibly satisfying about reducing the burden of repetitive admin work and letting people focus on the creative or strategic side of what they do best. It’s not just about building the most impactful powered solutions, but about making sure it fits into real-world environments, making tasks simpler without stepping on anyone’s toes. And, of course, with the constant evolution of regulations, like the EU AI Act, there’s always been a layer of ensuring these technologies are compliant and responsibly deployed.

Now, I work with organizations around the world on a mix of projects. Some days, it’s enhancing WordPress themes or Shopify integrations; other times, it’s building a custom web application from the ground up or figuring out how to streamline processes with AI. It’s never just about the tech—it’s about how people interact with it, how they experience it, and ultimately, how it makes their lives a little bit easier. It’s been quite the journey, and I wouldn’t have it any other way.