Summary
Andreas Motzfeldt is a Machine Learning Researcher and Industrial PhD student based in Copenhagen with eight years of experience applying ML to real-world products and research. He blends academic rigor from DTU and IT University collaborations with hands-on engineering at Corti and raffle.ai, where he deployed and fine-tuned LLMs and RAG systems for retrieval, QG, and summarization. His background spans data-driven roles from M&A analytics at PwC to IoT anomaly detection at Danfoss, giving him a strong product-first perspective on ML deployment and monitoring. At DTU Compute he co-authored evaluations of open-source LLMs on medical exams and fine-tuning strategies for medical IR, demonstrating domain expertise in healthcare NLP. Outside engineering, he’s led youth soccer development and co-founded a student NPO, signaling a practical, people-centered approach to leadership and learning.
8 years of coding experience
3 years of employment as a software developer
Exchange program Computervidenskab, Exchange program Computervidenskab at Københavns Universitet - University of Copenhagen
Exchange programme Design Manufacture and Engineering Management, Exchange programme Design Manufacture and Engineering Management at University of Strathclyde
Technical University of Denmark
Danish, English, French, Swedish, Norwegian