I studied Computer Science, then a Master's in Data Science, then an MBA. Started as a Data Engineer, moved into consulting, and ended up founding things. The pattern was always the same: I wanted to own the whole picture, from the pipeline to the product.
I've always preferred building with constraints. Small teams, limited budgets, real deadlines. It forces you to focus on what matters and skip everything else. I've done this across healthcare, fintech, Web3, and eCommerce, and the lesson is always the same: the hard part is deciding what not to build.
I care about systems that work under real load and actually make money. Most of what I know about building products came from getting it wrong first, then fixing it with better data and fewer assumptions.
I build things because I like the process. The first version is always wrong. The second one is better. By the third, you understand the actual problem. I've done this enough times to know that the gap between a prototype and a product is where most people give up.
Outside of work, I trade discretionary and read too much. Psychology, systems thinking, markets. Working across different countries and cultures taught me that good ideas sound different everywhere, but the problems are usually the same.
