Kai Clasen
Researcher at Technische Universität Berlin
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolKai Clasen is a researcher and data engineer at TU Berlin with six years of experience focused on reproducible research and large-scale remote sensing datasets like BigEarthNet. He blends practical engineering—moving from Python to Rust for performance and safety—with deep expertise in Nix/NixOS to enable reproducible development, self-hosting, and integration testing using VMs. Kai has taught embedded system design on FPGAs and contributed to digital innovation during industry internships, reflecting a mix of academic rigor and applied engineering. An open-source advocate who treats tooling as research infrastructure, he brings a systems-oriented mindset to data-intensive projects while balancing family life, board games, and a voracious appetite for audiobooks and podcasts.
7 years of coding experience
Master's degree, Computer Engineering, 1.1, Master's degree, Computer Engineering, 1.1 at Technische Universität Berlin
Github Skills (200)
beamer10
nix10
python10
literate-programming10
spatial10
nbdev10
conda-forge10
cover10
linux10
nixos10
fastai10
latex10
developer-tools10
jupyter10
conda10
Programming languages (17)
Github contributions (5)
kai-tub/bigearthnet_encoder
Jan 2022 - Oct 2022
Contributions:5 releases, 4 reviews, 54 commits in 9 months
kai-tub/sphinx_cli_recorder
Feb 2022 - Oct 2022
Contributions:3 releases, 100 commits, 12 PRs in 7 months
automationvideosphinxcli
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