From writing algorithms to building blockchain ecosystems and now exploring the foundations of artificial intelligence, this is a journey of continual reinvention in pursuit of work that creates meaningful, lasting impact.
In early 2017, after stepping away from a traditional business, I decided to return to technology. The obvious paths were web development, mobile apps, cloud computing, or AI. AI, machine learning, and data science initially drew me in because they felt familiar with algorithms, software engineering, and mathematical problem-solving, much like my work on video codecs between 2006 and 2012. But the excitement faded quickly. It felt like I was solving increasingly sophisticated technical problems without tangible underlying use cases. Then came a podcast by Vitalik Buterin in the summer of 2016, followed by reading the Bitcoin whitepaper. That moment fundamentally changed my perspective. For the first time, I saw technology that wasn’t just about building software, it was about redesigning trust, ownership, and opportunity at a global scale.
Fast forward from joining a mid-sized technology services company in 2019 to where I am today, and I find myself having come full circle. Blockchain gave me purpose because I believed it could improve the lives of millions. Over time, however, that sense of purpose became diluted. The work remained interesting, but the mission became less clear. Then AI arrived with unprecedented force. In just a few years, it has reshaped industries, challenged assumptions, and redefined what is possible. Once again, I find myself asking the same question I asked nearly a decade ago: where can I make the greatest impact on the greatest number of people?
This time, my answer isn’t to choose between AI and infrastructure, it is to understand both from first principles. At one end of the spectrum, I want to learn mathematics that powers modern intelligence, starting with linear algebra. At the other, I want to understand the physical infrastructure that makes it all possible, from GPUs to hyperscale AI data centers. Somewhere between mathematics and machines lies the next decade of purpose. That’s where I intend to be.