Martin Morset is a Senior Software Engineer based in Copenhagen with seven years of experience building cloud-native and data-driven systems. He has blended roles across data engineering, platform development and software delivery at organizations including Maersk, DFDS, one.com and Veo, frequently working with AWS, Python, Kubernetes, and serverless architectures. Martin has a strong focus on operational data platforms—designing data-mesh style architectures, ML-enabled pipelines (Airflow, MLflow), and deployable compute environments for data science. His background in civil and environmental engineering gives him a practical, analytics-first perspective on complex system modeling and instrumentation. Colleagues rely on him to move projects from prototype to production while keeping platform reliability and product thinking front and center. He’s equally comfortable optimizing hydraulic models for utilities and architecting subscription backends, a sign of both domain versatility and hands-on delivery.
7 years of coding experience
5 years of employment as a software developer
Master’s Degree, Environmental Engineering Technology/Environmental Technology, MSc, Master’s Degree, Environmental Engineering Technology/Environmental Technology, MSc at Danmarks Tekniske Universitet
Bachelor’s Degree, Civil Engineering, Bachelor’s Degree, Civil Engineering at Kyushu University
International Exchange Student, International Exchange Student at Nichinan Gakuen High School
Upper Secondary School, Upper Secondary School at Trondheim Katedralskole
Norwegian, English, Japanese, Danish, Swedish, Dutch, Spanish, Slovenian
Docker image, terraform module and central infrastructure for self-service deployment of mlflow. See Azure DevOps for client code.
Contributions:2 releases, 4 reviews, 57 commits in 2 years 3 months
gcpdocker-imageawsazure-devopswatson
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Martin Morset - Senior Software Engineer at A.P. Moller - Maersk