Michael André
Software Engineer at Recorded Future
Gothenburg, Sweden
Summary
👤
Senior🎓
Top SchoolMichael André is a software engineer with 10 years' experience and an MSc in Artificial Intelligence and Machine Learning, based in Gothenburg, Sweden. He has built production ML systems across automotive and safety domains, from vehicle classification and axle detection to ADAS perception and annotation ETL pipelines. Currently at Recorded Future, he leverages a strong background in deep learning and data engineering developed at Zenseact, Veoneer and Kapsch TrafficCom to bridge model research and operational deployment. His master's thesis applied active learning and Monte Carlo dropout to reduce annotation needs for semantic segmentation, reflecting a pragmatic focus on data efficiency. Comfortable in C++, Python, SQL and production pipelines, he blends hands-on coding with system-level thinking to deliver measurable improvements in perception and annotation quality. Colleagues describe him as a practitioner who turns uncertainty-aware research into robust, maintainable software.
10 years of coding experience
5 years of employment as a software developer
Master of Science, Aritificial Intelligence and Machine Learning, Master of Science, Aritificial Intelligence and Machine Learning at Linköping University
Swedish, English
Github Skills (9)
artwork5
genius-api5
python4
music4
metadata3
markdown3
macos2
wikia1
pythonic1
Programming languages (1)
Github contributions (5)
sorsater/advent_of_code
Dec 2017 - Dec 2021
Contributions:30 commits, 122 pushes, 1 branch in 4 years 1 month
sorsater/CV
Jan 2020 - Sep 2022
Contributions:21 pushes, 1 branch in 2 years 8 months
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