Anders Mortensen
Computer Vision And Machine Learning Freelancer at Trifork
Aarhus, Central Denmark Region, Denmark
Summary
🤩
Rockstar🎓
Top SchoolAnders Mortensen is a computer vision and machine learning specialist with a decade of experience spanning academia, startups, and industry engagements. He co-founded AI Lab ApS and has held research and teaching roles at Aarhus University, bringing rigorous scientific methods to applied vision problems like biomass and nitrogen estimation in agriculture. As a freelancer he delivers production-focused CV/ML solutions for clients such as Trifork and CARIAD, bridging research prototypes and deployable systems. His open-source work includes GPUtil, a pragmatic Python tool for programmatic NVIDIA GPU monitoring, reflecting attention to practical tooling that supports heavy ML workloads. Anders combines an electrical engineering foundation with a master’s in information technology, enabling him to tackle problems from sensor signal processing through deep learning pipelines. Colleagues value his ability to turn complex research insights into robust, reusable software for real-world sensing and perception tasks.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at Aarhus UniversityBachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at Engineering College of AarhusMathematical Student, Mathematical Student at Aalborghus Gymnasium
Danish, English, German
Github Skills (12)
gpu10
python10
monitor10
command-line9
cli9
error-handling9
command-line-interface9
numpy8
threaded6
hyper-threading6
thread6
multithreading6
Programming languages (3)
Github contributions (5)
anderskm/gputil
Jan 2017 - Aug 2019
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 119 commits, 11 PRs in 2 years 7 months
Contributions summary:Anders developed a Python module, `GPUtil`, for retrieving GPU status information using the `nvidia-smi` utility. They implemented core functionality for obtaining GPU metrics, including utilization, memory usage, and other hardware details. Furthermore, the user added features such as the ability to exclude GPUs, and to account for potential errors by retrying to obtain the information. They also enhanced the code with exception handling and improved overall code structure.
gpunvidia-smipythonpython-modules
anderskm/lettuce-3D-segmentation
Oct 2017 - Jan 2019
Contributions:26 commits, 1 push in 1 year 3 months
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