I describe myself as a "Creative" — an engineer who deliberately combines project management, development, AI and client relations in one head. I prefer effectiveness over perfection, and solutions that work here and now.

I'm direct and to the point, I question assumptions and I listen to people. Four things drive me: growth, modernity, honesty and respect.

My career began in construction — hence the engineering degree and years on railway sites, from running crews to leading foreign-market development across the Poland–Germany line.

But modern technology is my real passion. So I stepped into the world of AI on my own initiative and started building — not as a classic programmer, but out of a need to solve real problems.

I build by vibe coding — squeezing as much as I can out of language models, with Claude Code as my main tool. I write my own custom skills and assemble them into solutions tailored to a specific process.

First I identify the problem fast, then I match an IT solution to it — sometimes simple, sometimes complex — but always one that tackles the real, as-is process rather than an invented one. I don't guess the process; I understand it first.

As I like to put it: an experienced programmer builds a horse from horse parts — I build a Frankenstein: a horse's leg, an elephant's trunk, an eagle's wings. What matters is that it works and solves the problem.

I lead a foreign-market development department, and that's exactly where I tested my solutions — all of them shipped and still run today, supporting day-to-day work.

Since I took the department over, it has grown almost fourfold. I introduced an original German-language training program for the whole team, including machine operators (e.g. two-way excavators) — because people are the foundation, and everything else follows from them.

Vision matters most to me. My greatest satisfaction is the moment it comes to life and works exactly as I pictured it.

I look at the whole: I try to understand the entire process and how the pieces affect one another — and to see the direction we need to take to reach the goal.

It's systems and product thinking: break the problem down, anticipate the failure modes, and know what success actually means.

I believe AI — trained on the collective work of humanity — should be democratized and widely accessible. So I share what I know: I show others how to work more efficiently with AI and gain more time for the people they love.

For me that's a natural direction for the future — training on Claude Code and adapting AI tools to real work inside a company.

I've played guitar since my teens and performed in bands (most recently Easy Dose). Playing together taught me teamwork and how to create something bigger as a group — I still play and compose.

After all, music is for listening to, not describing.