Alexandra Josefsson
Machine Learning Engineer at Neonode
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolAlexandra Josefsson is a Machine Learning Engineer based in Stockholm with 11 years of experience bridging embedded software, medical technology, and full-stack development. She holds an MSc in Embedded Systems from KTH and a BE in Electronics and Electrical Engineering from the University of Edinburgh, combining strong academic foundations with applied industry work. Alexandra has shipped ML solutions across product and research settings—from patent-driven medical device algorithms to time-series sensor models for wearable health at Nectarine Health and production ML at Neonode. She has also worked as a consultant and product owner at Scania, giving her cross-functional skills in data engineering, agile delivery, and stakeholder alignment. Comfortable moving between low-level embedded modeling and higher-level ML productization, she brings a practical focus on turning sensor and time-series data into deployable features. Colleagues often note her ability to translate research prototypes into documented, testable software for regulated and commercial environments.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Electronics and Electrical Engineering with Management (BEng), Bachelor of Engineering - BE Electronics and Electrical Engineering with Management (BEng) at The University of EdinburghMaster of Science - MS Embedded Systems - Software track, Master of Science - MS Embedded Systems - Software track at KTH Royal Institute of Technology
Swedish, English, French, Italian
Stackoverflow
43reputation
2kreached
1answer
2questions
Github Skills (5)
git6
cors6
ajax6
javascript6
jquery6
Programming languages (2)
Github contributions (5)
AndreJSON/rf-done
May 2020 - Apr 2024
Contributions:20 pushes, 1 branch in 4 years
AndreJSON/interactive-map
Oct 2017 - Nov 2017
Contributions:51 commits, 39 pushes, 4 branches in 29 days
augmentedstockholmmap
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