Corentin Meyer
Software Engineer at Phagos
Strasbourg, Grand Est, France
Summary
👤
Senior🎓
Top SchoolCorentin Meyer is a software engineer with nine years of experience who bridges biomedical AI research and production-grade engineering. He holds a PhD in Bioinformatics/Biomedical AI and moved from developing multimodal diagnostic tools and research pipelines at CNRS to building large-scale GenAI and data engineering solutions at Alcatel-Lucent Enterprise. At ALE he led the creation of a generative documentation engine on AWS that processed over a million pages and served hundreds of users, demonstrating both technical ownership and cross-functional collaboration. Now at Phagos he continues to apply ML-driven approaches to real-world problems, combining Python, cloud services and vector DBs with a strong grounding in NLP and medical imaging. Collected academic work—tools like NLMyo and IMPatienT—reflects an uncommon blend of rigorous research, production implementation, and domain expertise in genetic disease and patient data.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics - Biomedical AI, Doctor of Philosophy - PhD, Bioinformatics - Biomedical AI at University of StrasbourgBiotechnology Master Degree, Bioinformatics, Highest Honours - Summa cum Laude, Biotechnology Master Degree, Bioinformatics, Highest Honours - Summa cum Laude at ESBS - École Supérieur de Biotechnologie de Strasbourg
French, English, German, Russian
Github Skills (200)
transformers10
language-model10
neural-search10
python10
api-client10
semantic-search10
transformer-models10
resolver10
retrieval-augmented-generation10
elasticsearch10
squad10
chatgpt10
ai10
generative-ai10
transfer-learning10
Programming languages (11)
Github contributions (5)
lambda-science/haystack-core-integrations
Jan 2024 - Jan 2025
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards
Contributions:93 pushes, 16 branches in 1 year
lambda-science/MyoQuant
Oct 2022 - Mar 2025
MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://lbgi.fr/MyoQuant
Contributions:8 releases, 4 PRs, 59 pushes in 2 years 5 months
pytorchimagepythonmuscledeep-learning
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