Marcus Örnhag
Senior Researcher In Next Gen Device AI ML at Ericsson
Greater Malmö Metropolitan Area Sweden
Summary
👤
Senior🎓
Top SchoolMarcus Örnhag is a Senior Researcher specializing in on-device AI/ML, image analysis and computer vision with a PhD in Mathematics and over a decade of industry experience. He has transitioned academic excellence—publications at CVPR, ECCV and other top venues—into practical product work, leading imaging pipelines and ISO 62304-aligned software at companies like Lumito and Ericsson. Skilled in Python and hyperspectral imaging, he combines deep mathematical rigor with hands-on software architecture and repository stewardship. His background spans R&D in network camera imaging, multi-target tracking, and consultancy for defense and geotechnical applications, revealing a talent for adapting research methods to domain-specific constraints. Based in the Greater Malmö area, he brings both the analytical depth of a mathematician and the delivery focus of an engineering lead.
10 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at MittuniversitetetCivilingenjörsexamen, Teknisk fysik, Civilingenjörsexamen, Teknisk fysik at Lunds tekniska högskola
Swedish, English, German, thailändska
Github Skills (31)
linear-operators10
speech-to-text10
artificial-intelligence10
python10
algebra10
text-to-speech10
inverse-problems10
optimization10
llm9
pose-estimation9
linear-algebra9
operator9
homography8
algorithms8
odometry7
Programming languages (7)
Github contributions (5)
marcusvaltonen/HomLib
Oct 2020 - Nov 2021
Homography Library - C++ implementation of state-of-the-art methods with MATLAB support
Contributions:8 commits, 10 PRs, 65 pushes in 1 year
cpphomographymatlab
marcusvaltonen/DronePoseLib
Mar 2021 - Jun 2022
Library for Visual-Inertial Odometry
Contributions:54 commits, 19 PRs, 60 pushes in 1 year 3 months
odometry
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