Karol Zak is a Principal Data Scientist based in Switzerland with over a decade of experience building machine learning and cloud-native solutions at Microsoft. He has progressed through hands-on engineering and applied science roles—from ML software engineering and technical evangelism to senior and principal data scientist positions—delivering intelligent software that scales for global users. Karol combines production-grade ML engineering with applied research instincts, and actively shares work through his GitHub, highlighting a practical open-source mindset. Known for translating complex ML problems into reliable cloud services, he brings both developer-facing training experience and enterprise-grade execution to data-driven products.
10 years of coding experience
10 years of employment as a software developer
Engineer's degree Computer Science, Engineer's degree Computer Science at Politechnika Radomska im. Kazimierza Pułaskiego
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
Contributions:2 releases, 3 reviews, 97 commits in 2 years 9 months
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