Samir Nasibli
Director Of Software Engineering at co-mind AI
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolSamir Nasibli is a Director of Software Engineering based in Munich with a decade of experience building and scaling AI systems from research prototypes to production. Previously an AI Frameworks and Machine Learning Engineer at Intel, he brings deep expertise in accelerating ML workloads and integrating frameworks with heterogeneous compute (notably contributions to scikit-learn-intelex and oneAPI/SYCL build improvements). At co-mind AI he now leads engineering efforts to productize advanced AI capabilities, combining hands-on coding with team leadership. He holds a Master’s in Data Mining and a background in Business Informatics, giving him both technical depth and product-minded perspective. Quietly, he’s the sort of engineer who fixes platform build issues and deprecated components—work that keeps complex ML stacks reliable in production.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Data Mining, Master's degree, Data Mining at Higher School of Economics
Github Skills (14)
scikit-learn10
oneapi10
machine-learning-algorithms10
gpu10
python10
scikit10
build-automation9
compiler8
abtest7
ui-testing7
ab-testing7
data-analysis7
testing7
unit-testing7
Programming languages (3)
Github contributions (5)
uxlfoundation/scikit-learn-intelex
Feb 2022 - Jan 2023
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Role in this project:
ML Engineer
ML EngineerContributions:1002 reviews, 9 commits, 199 PRs in 11 months
Contributions summary:Samir primarily focused on improving the integration of the scikit-learn-intelex library with different oneAPI devices. Their contributions include fixing build processes for specific platforms like Windows, modifying build configurations for SYCL examples, and removing deprecated components. They also addressed issues by removing unnecessary comments and updating test files.
pythonswrepoai-machine-learningdata-scienceintel
samir-nasibli/oneDAL
Dec 2021 - Nov 2024
Contributions:63 pushes, 16 branches in 2 years 11 months
data-analyticsanalyticsoneapianalytics-libraryonedal
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