Summary
Simon Meoni is a PhD student and NLP engineer with 10 years of experience bridging cognitive science and production-grade software. He has delivered applied NLP and NLG solutions across research and industry—ranging from low-resource French medical NER and transformer deployment to semantic annotation tooling and scalable linguistic pipelines for large scientific corpora. Past roles at Arkhn, 360 medics, CNRS-ATILF and Orange demonstrate his ability to move models from research into robust, containerized systems with CI/CD and Kubernetes-driven architectures. He combines a Master’s in Cognitive Science and NLP with hands-on skills in full-stack and backend engineering, optimization of large data processing chains, and practical evaluation protocols for annotation tasks. Comfortable in both academic and product contexts, he often explores semi-automatic annotation strategies and resource-efficient approaches that are pragmatic for constrained data settings. Based in Nancy, France, he brings an interdisciplinary lens—melding cognitive modeling, probabilistic methods and modern deep learning—to tackle real-world language problems.
10 years of coding experience
7 years of employment as a software developer
Cognitve Science and Natural Language Processing Cognitive Science, Cognitve Science and Natural Language Processing Cognitive Science at Universite de Lorraine
Doctor of Philosophy Natural Language Processing, Doctor of Philosophy Natural Language Processing at Université Paris-Sorbonne
English, French