Jostein Fløystad
Principal Software Engineer at Deepinsight
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolJostein Fløystad is a Principal Software Engineer with 13 years of experience combining software development, data science and a PhD in X‑ray imaging and materials science. He excels at cross-disciplinary problem solving—bridging chemistry, mechanical design and analytics—and has repeatedly transitioned into new domains and ramped up quickly. Technically proficient in Python since 2006, he has shipped backend systems in startups and enterprises (Kron, Airthings, Telenor) and led analytics teams to productionize ML solutions across industrial sectors. He mentors engineers and partners with sales and product leads to identify high‑value use cases, while also owning integrations to external systems at the engineering leadership level. An active contributor to scikit-image, he has improved Radon transform implementations and test automation, reflecting a strong attention to numerical robustness in imaging and signal processing. Based in Oslo, he brings a pragmatic blend of research rigor and hands‑on engineering to complex, real‑world systems.
12 years of coding experience
11 years of employment as a software developer
Exchange stay (MSc level) Physics, Exchange stay (MSc level) Physics at Københavns Universitet - University of CopenhagenTranberg vgsNorwegian University of Science and Technology
Stackoverflow
2,062reputation
144kreached
6answers
14questions
azure
top-5%
Github Skills (17)
python10
numpy10
test-automation10
scipy9
azure9
data-structures8
data-structure8
algorithms8
algorithm8
image-processing7
computer-vision7
cython6
zsh6
fft6
zsh-completion6
Programming languages (6)
Github contributions (5)
scikit-image/scikit-image
Jun 2013 - Nov 2013
Image processing in Python
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:144 commits, 1 comment in 5 months
Contributions summary:Jostein primarily focused on enhancing the `skimage/scikit-image` repository by modifying and testing image processing algorithms. Their contributions include refactoring and improving tests related to the Radon transform, addressing code duplication, and fixing axis labels. They also implemented and tested new features, such as support for projection shifts in the inverse Radon transform (iradon_sart). These changes aimed to improve the robustness, accuracy, and functionality of the image processing library.
image-processingpythoncomputer-visionimage
josteinbf/dotfiles
Aug 2016 - Aug 2017
Contributions:2 pushes, 1 branch in 1 year
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