Janis Meyer

Machine Learning Engineer at self employed

Hamburg, Germany
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Summary

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Rockstar
Janis Meyer is a Machine Learning Engineer based in Hamburg with five years of experience focused on extracting structured information from complex documents. He has practical expertise integrating OCR and text-recognition systems—demonstrated by his back-end and architecture contributions to the well-regarded deepdoctection project, where he integrated the DocTr library and refined core text extraction modules. Janis blends system-level understanding with hands-on coding, improving pipeline robustness and interoperability between external OCR engines and document AI frameworks. He favors pragmatic solutions that bridge research-grade models and production-ready tooling, enabling reliable information extraction at scale. Colleagues value his ability to navigate project architecture while delivering targeted improvements to critical modules.
code5 years of coding experience
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Github Skills (10)

git10
architectures10
python10
architecture10
tensorflow9
pytorch9
opencv8
data-structure7
data-structures7
computer-vision7

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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deepdoctection/notebooks

Dec 2022 - Nov 2024

Repository for deepdoctection tutorial notebooks
Contributions:2 releases, 1 review, 2 PRs in 2 years
JaMe76/bbf

Jan 2023 - Apr 2023

Contributions:9 pushes, 1 branch in 3 months
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Janis Meyer - Machine Learning Engineer at self employed