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AI | machine learning | computer vision | software development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Broad experience designing, developing and training machine and deep learning based algorithms and integrating it into regulated software in the medical space. Using tools such as PyTorch, tensorflow, openvino, opencv and scikit-learn. Practical knowledge of preparing machine learning based products and their use of data for regulatory compliance.
Aarhus University
Cand.scient, Computer Science
January 1, 2002 – January 1, 2008
Vitrolife
Senior Deep Learning specialist
April 1, 2021 – Present
Viby, Aarhus, Denmark
Vitrolife
Computer Vision and Deep Learning specialist
August 1, 2017 – April 1, 2021
Viby, Aarhus, Denmark
Spiir A/S
Programmer and data specialist
March 1, 2017 – June 1, 2017
Aarhus C, Region Midtjylland, Danmark
Alexandra Instituttet
Senior Visual Computing Engineer
March 1, 2010 – March 1, 2017
Greater Aarhus Area
Digital Domain
R&D intern
January 1, 2009 – April 1, 2009
SOLIDO SYSTEMS A/S
Programmer
January 1, 2008 – March 1, 2010
Alexandra Instituttet
Student programmer
August 1, 2005 – December 1, 2007
Eldon-card smartphone reader
January 1, 2015 – April 1, 2015
Automatic Eldon blood type decision card reader. Point you smartphone camera at a eldon card and it will interpret the result. Technology involved: - Machine learning - Computer vision - Mobile development
Montana Screen Space Ambient Occlusion
January 1, 2014 – Present
Implemented progressive screen space ambient occlusion for adding a depth feel to real time rendering and configuration of Montana furniture. Developed for the iOS application developed by Apptitude. - iOS - GLSL - OpenGL
Neuroreader - Brainreader Consultancy
January 1, 2014 – January 1, 2016
Accelerated computations in a medical image segmentation pipeline and added additional unit, integration and system tests to the pipeline. - python and c++ - GPU and multi thread acceleration
Bioscience bird classification
January 1, 2014 – September 1, 2015
Automatic classification of bird / non bird candidates in PAN sharpened images captured with a camera sensor array mounted on a plane. - C++ development utilising Orfeus toolbox - CNN training using NVidia DIGITS - Python pipeline applying trained network
Sportstiming track visualization
September 1, 2013 – December 1, 2013
WebGL visualisation of race tracks. Used for both pre race track and realtime race result information. A circular track presentation visualizing height and runner position information. The solution is developed for Sportstiming and funded by innovationsfonden. Technology: - WebGL - Three.js
Bib race number detection
January 1, 2013 – Present
Automatic bib race number detection in images taken by photographers along the running track. The method uses computer vision algorithms to locate potential numbers and then using the open source OCR library tesseract the numbers are extracted.
Digital time reflections
September 1, 2011 – February 1, 2012
A person sized digital installation placed in a mall in Århus Denmark experimenting with self reflection though the past. The installation was part of a 1700 century festival in the city of Århus.
Digital natives exibit
August 1, 2009 – January 1, 2010
A collaborative exhibit with and about digital natives. Digital natives are teens who's digital life is a major part of their identity.
Sequence Models
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
IT projektledelse 1
Mannaz
June 24, 2026 – Present
Scrum Master
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and roles across different industries (medical, finance, research), indicates a broad interest and adaptability. Experience in AI strategy and regulation, alongside technical development, suggests a holistic view of ML projects. The certifications in project management (IT projektledelse 1, Scrum Master) further support a structured and team-oriented approach. The candidate's experience aligns well with a role requiring both technical depth and strategic thinking in ML.
Soft Skills & Operational Fit
The candidate's experience as a Scrum Master and involvement in AI strategy and regulation suggest strong organizational and leadership potential. Project diversity indicates adaptability and a collaborative mindset. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.