Christian Lorenzen is a versatile software engineer and machine learning specialist with a PhD in Applied Mathematics and a decade of experience building production-ready systems across C++, Java, Python, and C#. He has applied rigorous numerical modeling and data-analysis expertise to pioneer ML solutions for non-invasive blood glucose monitoring using Raman spectroscopy and has led cross-functional teams as a Scrum Master at Universal Robots. Currently working on 3D excavation systems, he blends research-grade mathematical modeling with practical software engineering to move experimental pipelines into real products. Known for quickly mastering new technologies and for a playful “I turn coffee into code” attitude, he pairs deep algorithmic thinking with hands-on development to tackle complex, multidisciplinary problems.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Southern Denmark
Master's degree, Applied Mathematics, A (ECTS scale), Master's degree, Applied Mathematics, A (ECTS scale) at Syddansk Universitet / University of Southern Denmark
Higher Education, Natural Science, A (ECTS scale), Higher Education, Natural Science, A (ECTS scale) at Odense Tekniske Gymnasium - HTX
Contributions:104 commits, 2 PRs, 97 pushes in 2 years
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Christian Lorenzen - Software Engineer at Unicontrol