Summary
Daniel Thoren is a Senior Consultant and independent-minded data engineer with nine years’ experience building ETL and ML pipelines across telecom, chemical processing, pharma R&D, and legal services. He blends a BSc in Network Engineering with an MSc in Human-Centered AI to connect robust systems engineering practices to practical, human-facing machine learning solutions. At Lundbeck he focused on DataOps and MLOps for clinical and drug development workflows, deploying cloud-first architectures for large-scale data curation and model operations. Comfortable in Python and data analysis, he has a track record of moving prototypes into production across regulated and industrial environments. He’s equally at home authoring analytics for refinery process optimization as he is designing user-aware AI systems, reflecting a rare mix of domain versatility and human-centered thinking. Based in Copenhagen, he brings independent-contractor agility together with senior-consulting experience at consultancy and enterprise scales.
9 years of coding experience
6 years of employment as a software developer
Birkerød Gymnasium International Relations and Affairs, Birkerød Gymnasium International Relations and Affairs at International Baccalaureate
IGSCE Maths, IGSCE Maths at Rygaards International School
Technical University of Denmark