I. The Foundational Year
I arrived at Krea without a clear sense of what I was there to become. I had interests, some vague ambitions, and the reasonable assumption that university would eventually sort them into a direction. What I didn’t expect was that the first year would resist that sorting entirely.
The liberal arts foundation meant that before I could specialise in anything, I had to spend time in everything. Psychology sat next to statistics. Literature ran alongside introductory economics. Sociology appeared where I expected something more immediately useful. There was no clean path, and for a while, that felt like a problem. I wanted a map. What Krea was offering me was a way of moving through unfamiliar territory without needing one.
That first year didn’t tell me who I was going to become. But it did something more useful. It widened the aperture through which I was looking at the world, before I had the chance to narrow it prematurely.
II. The Major
Choosing Computer Science felt like the decision that would finally bring things into focus. And in many ways, it did. Working through systems, logic, and structure gave me a vocabulary for how things are built and why they break.
But Krea’s version of a Computer Science education wasn’t purely technical, and that distinction matters more than it might appear. The liberal arts courses didn’t stop when the major started. Psychology kept pulling at me. I found myself less interested in behaviour as just an area of study and more absorbed by the specific question of why people make the decisions they do, what they tell themselves in the gap between impulse and action. That curiosity didn’t feel connected to Computer Science at the time, but it would later become central to almost everything I did professionally.
Literature did something slower and harder to measure. Reading carefully over time changes how you process language, as something that carries tone, timing, and emotional weight and not just raw information. I didn’t think of this as a skill while it was happening. It felt more like developing a sensitivity, the kind that makes you notice when a sentence is doing more than it appears to be doing.
Sociology reframed my entire perspective on systems. People don’t make decisions in clean, rational isolation. They make them inside communities, shaped by identities and pressures that often go unspoken. Learning to see that and to look at a market or an organisation and ask what social architecture is holding it in place gave me a different kind of analytical instinct that Computer Science alone would not have.
III. The Bridge
The moment the education became tangible and useful wasn’t dramatic. It happened over two years working in digital marketing, and then sharpened considerably when I moved into building something of my own.
In digital marketing, I kept reaching for things I hadn’t expected to need. Understanding why a user was dropping off a page wasn’t purely a data problem — it was a question about attention, friction, and motivation. Writing for audiences required the same instinct that literature had been building for years: knowing what someone needs to feel before they can receive what you’re trying to say. Making sense of consumer behaviour in any meaningful way meant asking sociological questions, not just running the numbers. The technical foundation from Computer Science was essential; it gave me fluency with tools and the confidence to work inside complex systems. But it was the other education that told me what to do with what I was seeing.
Entrepreneurial Journey
Entrepreneurship made that dependency explicit. When you’re building something, you’re rarely solving a purely technical problem. You’re managing uncertain people, persuading customers who are sceptical, and making decisions with information that is always incomplete. The Psychology and Business Studies courses that I had taken, almost accidentally, became something I was drawing on constantly. So, did the habit of asking what environment people are actually operating in, as opposed to the one you’ve assumed they’re in. Even the patience that literature had built, the comfort with not having a clean answer yet, turned out to be useful in ways I hadn’t anticipated.
What Krea gave me wasn’t a set of skills mapped neatly to a career path, but a way of thinking that remains relevant across diverse professional contexts.
