Data & AI Engineering rothnielsen.dk
Technical blog
This is where I share technical writing, lessons from real projects, and longer reflections on engineering in practice.
This is where I share technical writing, lessons from real projects, and longer reflections on engineering in practice.
Data Science & AI Engineer
My background is in data science and AI engineering, and through my work I have built a practical understanding of what it takes to move ideas into products that people can actually use.
I am especially interested in the space between a promising prototype and a reliable system. That is where questions about observability, failure modes, deployment, and organisational friction show up. Working through those trade-offs is a big part of what I enjoy.
This site is where I share what I am learning across MLOps, LLMOps, platform engineering, and AI application development: architecture patterns, engineering ideas, and the occasional deep dive into tools and methods I find worth writing about.
Energinet · Fredericia
Working on the organisation-wide Data science platform as well as generative AI applications, and developer tooling for production use.
LINAK · Sønderborg
Responsible for ML/AIOps infrastructure and platform direction in LINAK's Data Science organisation. Established CI/CD and infrastructure-as-code foundations for ML operations.
LINAK · Sønderborg
Developed and deployed recommendation and pricing models. Also worked on early generative AI prototypes as part of the organisation's AI initiatives.
LINAK · Sønderborg
Worked in R&D on engineering tasks related to product development.
Contact
If something here resonates, you are working on something you think I might find interesting, or you would like to inquire about my services — I would love to hear from you.
