Quentin Herreros is a Data Scientist specializing in NLP with 11 years of experience applying mathematical modeling, signal analysis and machine learning across construction, spatial and biomedical domains. Currently at Elastic, he benchmarks zero-shot IR models and designed a state-of-the-art sparse semantic model (ELSER) to enhance Elasticsearch’s semantic retrieval. His background ranges from building end-to-end ML pipelines and production embeddings to hands-on systems design—having led cloud architecture for large parallel computations and deployed continuous ML evaluation with DVC and GitHub Actions. Quentin’s PhD and postdoc work in very low-field MRI and magnetism give him uncommon expertise in sensor physics and signal processing that informs robust model and algorithm design. Based in Lyon, he blends research rigor with production-focused engineering to bridge cutting-edge NLP research and scalable search systems.
11 years of coding experience
8 years of employment as a software developer
Postgraduate Degree, Interdisciplinary Approaches to Life Science, Postgraduate Degree, Interdisciplinary Approaches to Life Science at Université Denis Diderot (Paris VII)
Doctor of Philosophy (Ph.D.), Very low field MRI, Doctor of Philosophy (Ph.D.), Very low field MRI at Université Paris Descartes
Master's Degree, Fundamental Physics, Honors, Master's Degree, Fundamental Physics, Honors at Université Paris Sud (Paris XI)
Bachelor's degree, Fundamental Physics, Bachelor's degree, Fundamental Physics at Universidad Complutense de Madrid
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