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.
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Janis Meyer - Machine Learning Engineer at self employed