Simon

My path to Machine Learning started in a somewhat non-traditional place – namely, studying Danish. I had a high school teacher who was so phenomenal at communicating the subject that I was completely sold. But during my first semester, I realized that if I were to teach it myself one day, the bar would be set extremely high, and I became unsure if I could spark the same enthusiasm in others.

Therefore, I chose to listen to my gut feeling and switched to Machine Learning and Data Science. It might seem like a huge leap from literature analysis to algorithms, but mathematics has always come naturally to me. To me, both subjects are really about the same thing: finding patterns, understanding structures, and communicating complex relationships.

As a former Bar Manager and training manager at Café Razz, I quickly learned to keep a cool head when the pressure is highest. This has given me a practical understanding of operations, logistics, and not least, human collaboration.

In the tech world, this means I am used to taking responsibility for my tasks, communicating clearly with my colleagues, and understanding that the systems we build must ultimately work for real people. I bring the same work ethic and structure into my programming that I used to manage a busy bar.

When I close my books at KU (University of Copenhagen), I spend a part of my free time on my own programming projects, where I get to experiment with new technologies. But of course, it's not all about code.

I live in Copenhagen with my girlfriend of six years, and my free time is also largely spent with her. And there's not much that beats completely unwinding with the guys from Jutland over a round of Xbox and a cold beer, or watching a good handball match with a friend.