Basile Dura is a Data Engineer with eight years of experience specializing in AI and data systems based in France. He blends practical engineering with an AI-focused mindset, building reliable data pipelines and infrastructure to power machine learning applications. While his public footprint is concise, his GitHub bio signals hands-on work at the intersection of data engineering and AI tooling. Colleagues would describe him as a pragmatic problem-solver who turns complex data requirements into maintainable production systems. He brings steady, production-first delivery and a curiosity for emergent AI approaches to every project.
EDS-PDF is a generic, pure-Python framework for text extraction from PDF documents. It provides the machinery to use rule- or machine-learning-based approaches to classify text blocs between body and meta-data.
Contributions:2 releases, 100 commits, 14 PRs in 16 days
extractionpythonrulepdf-documentsmeta
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