Per Hansen
Data Science Chapter Lead & Head Of AI CoE
Copenhagen, Capital Region of Denmark
Summary
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Rockstar🎓
Top SchoolPer Hansen is a Data Science Chapter Lead and Head of AI CoE with a PhD in physics and 11 years of experience translating advanced research into production-ready AI, ML, and discrete optimization solutions for shipping and logistics. He has led teams and built high-impact systems at DFDS—ranging from automated hazardous-goods planning and demand forecasting to LLM-powered RAG document extraction and company-wide fleet route optimization. Comfortable across the full lifecycle from PoC to scalable MVPs, he champions MLOps, model/data drift monitoring, and software engineering best practices to ensure long-term model reliability. His background in photonics and Bayesian modeling gives him a distinctive edge in probabilistic reasoning and complex system design, and he pairs that with hands-on expertise in AWS/Azure, Kubernetes, MLflow, STAN and FastAPI. Colleagues rely on him for technical mentorship and building reproducible workflows that align strategic goals with pragmatic engineering.
11 years of coding experience
9 years of employment as a software developer
Master, Physics, Master, Physics at Københavns Universitet - University of CopenhagenTechnical University of Denmark
Github Skills (73)
python10
retrieval-augmented-generation10
squad10
statistics10
transfer-learning10
nlp10
haystack10
text-generation10
sentence-embeddings10
summarization10
data-science10
retrieval10
information-retrieval10
korean-nlp10
question-answering10
Programming languages (4)
Github contributions (5)
kaqmak/watering
Jan 2015 - Aug 2015
Contributions:1 PR, 17 pushes, 5 branches in 7 months
kaqmak/Adafruit_CC3000_Library
Feb 2015 - Aug 2015
Contributions:3 pushes in 6 months
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