I have always been bothered by not knowing how things work.

The pattern has followed me for years. I find something that feels confusing, broken, hidden, or strangely powerful, and I start pulling at the thread. Sometimes it becomes a note. Sometimes it becomes a project. Sometimes it becomes an obsession that lasts longer than I expected.

Early curiosity

My relationship with technology started through self-learning. I was drawn to the web because it felt like a place where curiosity could turn into something visible. A page, a tool, a small experiment, a system that did something it could not do yesterday.

I learned by trying, breaking, searching, rebuilding, and asking better questions. That way of learning never really left me.

One early memory that stuck: it was 2002, I fell asleep and missed Argentina’s opening match in the World Cup. I woke up too late, grabbed a newspaper, and realised I had no way of knowing the score when it actually happened. So I built something. A rough little page in HTML that I updated as I watched matches. It was not impressive. But it showed me something I have never forgotten: I could teach myself anything if I needed to.

The real-world laboratory

My professional work has mostly lived inside insurance technology. It sounds dry from the outside, but underneath the surface it is full of complex systems: risk, data, judgement, regulation, workflows, documents, decisions, and human uncertainty.

That world became a laboratory for systems thinking.

It taught me that good technology is not just about making something look modern. It is about understanding the shape of a problem deeply enough to build something that people can actually use, trust, and maintain.

Why academia matters to me

I am now moving deeper into artificial intelligence, machine learning, deep learning, and research.

For me, academia is not a badge. It is a way to build better foundations. I want to understand the theory properly, connect it to practice, and contribute something useful rather than only consuming what others have built.

The questions that interest me most sit around trustworthy AI, traceability, explainability, human-AI collaboration, and knowledge systems.

Curio Synapse

Curio Synapse is where some of my thinking becomes more public and more structured.

This site is the notebook. Curio Synapse is the garden.

Here, ideas can stay messy for a while. There, I try to turn difficult ideas into explanations that are clear, memorable, and worth sharing.

The thread underneath it all

I care about curiosity because it is the beginning of almost everything useful.

Not passive curiosity. Active curiosity. The kind that opens the system, follows the mechanism, checks the source, and asks what else might be possible.

“The reasonable man adapts himself to the world: the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man.”