Leander Weber
Research Associate
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolLeander Weber is a research-focused software engineer with six years of experience at Fraunhofer Heinrich Hertz Institute in Berlin, progressing from student research assistant to research associate since 2019. He holds a strong academic background with a Master’s in Computer Science from Technische Universität Berlin (grade 1.2), complementing hands-on work in applied research environments. Leander is likely experienced in bridging theoretical CS with practical implementations typical of Fraunhofer projects, delivering experimental systems and prototypes. Based in Berlin, he combines academic rigor with applied engineering discipline and a track record of steady growth within a leading European research institute.
6 years of coding experience
1 year of employment as a software developer
Master, Computer Science, 1.2, Master, Computer Science, 1.2 at Technische Universität Berlin
Github Skills (11)
pytorch10
xai10
machine-learning10
deep-learning10
recall10
toolbox10
evaluation10
tensorflow9
neural-network8
python7
bioinformatics1
Programming languages (2)
Github contributions (5)
leanderweber/zennit
May 2021 - Feb 2022
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Contributions:9 PRs, 16 pushes, 1 branch in 9 months
pytorchpythondataminingdeep-learninghigh-level
leanderweber/layerwise-feedback-propagation
Feb 2025 - Mar 2025
Contributions:1 review, 3 PRs, 26 pushes in 1 month
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