Jan Motl
Systémový Inženýr at Panasonic Automotive Systems Czech
Slatiňany, Pardubice, Czechia
Summary
🤩
Rockstar🎓
Top SchoolJan Motl is a systems engineer with 13 years of experience delivering reliable information systems and leading engineering teams in the Czech Republic, currently shaping automotive systems at Panasonic Automotive Systems Czech. He progressed from application consultancy and IT team leadership at MAKRO to project and engineering leadership roles, blending hands-on technical work with people and project management. His open-source contributions to scikit-learn-contrib’s category_encoders show a practical focus on maintainability, backwards compatibility, and benchmarking for performance and memory consumption. Based in Slatiňany, he combines a pragmatic engineering mindset—reflected in his philosophy of learning from mistakes—with a track record of optimizing real-world systems under tight operational constraints.
13 years of coding experience
4 years of employment as a software developer
not finished, Environmental Engineering Technology/Environmental Technology, not finished, Environmental Engineering Technology/Environmental Technology at Czech Technical University in Prague
Github Skills (11)
scikit10
scikit-learn10
pandas10
machine-learning10
benchmark10
benchmarking10
categorical10
python10
encoding10
data-analysis10
code-optimization9
Programming languages (5)
Github contributions (5)
scikit-learn-contrib/category_encoders
Jul 2018 - Jul 2020
A library of sklearn compatible categorical variable encoders
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1 release, 201 commits, 42 PRs in 2 years
Contributions summary:Jan contributed to the compatibility of the binary encoder with older versions of pandas, indicating a focus on library maintenance and bug fixes. The initial commit introduced benchmarking examples, suggesting data analysis and model evaluation tasks. The user also cleaned up the benchmarking code and added memory consumption metrics to the evaluation process, showing skills in data analysis, and code optimization.
sklearnsklearn-compatibleencodersvariablecategorical
janmotl/PredictorFactory
Jul 2012 - Mar 2022
Contributions:3 releases, 178 commits, 90 pushes in 9 years 10 months
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