Robert Benke
Deep Learning R&D Engineer at Intel Corporation
Wrocław, Lower Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolRobert Benke is a Deep Learning R&D Engineer with nine years of experience blending research-grade mathematics and production-focused software development. Based in Wrocław, he combines roles at Intel and Gdańsk University of Technology, applying advanced ML and data-analysis techniques to real-world problems while teaching and publishing research. His background spans C++ systems for image and signal processing, statistical finance and data analysis, and hands-on ML work in industry startups, reflecting a rare mix of theoretical rigor and practical deployment. Comfortable moving between academia and enterprise, he has tackled everything from PCB fault detection with OpenCV to interpolation algorithms for fluid dynamics, indicating a penchant for mathematically informed engineering.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Mathematics - Data Analysis, Master's degree, Mathematics - Data Analysis at Uniwersytet WrocławskiMaster's degree, Mathematics and Statistics, 3sem, Master's degree, Mathematics and Statistics, 3sem at Technical University MunichBachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of PatrasBachelor's degree, Financial Mathematics, Bachelor's degree, Financial Mathematics at Politechnika GdańskaMaster's degree, Mathematics, 2sem, Master's degree, Mathematics, 2sem at Uniwersytet Warszawski
Github Skills (16)
python9
gpu9
machine-learning9
deep-learning8
interpretable-machine-learning7
tensorflow7
numpy7
neural-network7
acceleration6
tensor6
gpu-acceleration6
autograd6
segment6
scatter5
data-science4
Programming languages (3)
Github contributions (5)
Contributions:19 commits, 16 pushes, 1 branch in 5 days
rBenke/InterpretableMachineLearning2018S
Mar 2019 - May 2019
Lecture notes for 'Interpretable Machine Learning' at WUW and UW. Summer semester 2018/2019
Contributions:12 PRs, 20 pushes in 2 months
notesdata-sciencemachinelearningcomputer-visionmachine-learning
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