Hi and welcome to my personal space!

TL:DR I’ll mostly use this website to post my thoughts and ideas within cloud, devOps, and infrastructure.

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A little about me:

My name is Sebastian and I am already in my mid-thirties. I live close to Copenhagen with my wife, Malene, and my son William. I love to travel, to cook, and have a huge interest in everything related to food and drinks. I regularly bake with my sourdough and love to try new recipes out. I have been working as a ski instructor in Austria, bartending across four countries, and volunteering at three large festivals in Denmark.

I have a Master’s degree in Computer Science from the University of Copenhagen. I wrote my master’s thesis on hierarchical machine learning algorithms. At that time, I was young and thought that I would save the world by sprinkling ML and AI around different companies, but I quickly realized that back in 2018, most companies were still doing data analysis in Excel and were siloing themselves out in various on-prem database technologies.

Therefore, I figured out that I would generate more value by going into data engineering. Centralizing data and making a data foundation that would enable more use cases was the first step in the ambitions within data science and BI after all. However, after a few years of trying to enable the data journey, I also realized that a proper foundation for enabling data strategies and corresponding ambitions was rarely in place. Fortunately, I was given the opportunity to build a data platform from scratch as a platform engineer. I could now build the platform foundation that would enable data engineers to build a data foundation and hence data scientists and ML engineers to start deriving value and insights for the business.

We succeeded and built the platform that we had imagined from the start in a year’s time. During the development, I found a passion for automating aspects of platform engineering. I was in love with Terraform and GitHub pipelines because it allowed me to fully automate infrastructure deployments of everything within the bounded context of cloud. There is just something beautiful when you submit a PR and it just automatically scans it for security vulnerabilities, tests the code in a segregated cloud environment. No more manual tests or big bulks of code changes that eventually would break everything.

At the same time, as we finally released the platform for production and started to onboard data and users, I was offered a position where I could spend all my time on exactly that. I got an offer from Novo Nordisk to work as an infrastructure engineer, which is also my current, professional role.

So, 6 years with professional experience later and with experience in all abstraction layers of modern IT positions, I feel I wanted to start writing a bit about topics I am curious about. It will not only be about deep-basement networking topics or fancy infrastructure patterns, but maybe more about how general topics can benefit from perspectives from both a Machine Learning Engineer as well as an infrastructure specialist. That should at least give a holistic approach and hopefully a basis to have a good discussion.

Cheers! Sebastian