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, Master 2, Cognitve Science and Natural Language Processing, Cognitive Science, Master 2 at Université de Lorraine
English, French