Arnaud Wéry is a data scientist with 11 years of experience, specializing in NLP and applied Transformer models for patent classification, machine translation, and embeddings. As technical lead at the European Patent Office, he architects and delivers generative AI solutions—RAG, agents, fine-tuning, and prompt engineering—bridging research-grade models with production workflows. His work focuses on predictive AI for large-scale patent corpora, turning complex legal language into actionable classifications and high-quality translations. Based in The Hague, he combines a solid MS background from Faculté Polytechnique de Mons with additional study at EPFL, reflecting strong academic foundations. Colleagues value him for translating cutting-edge LLM techniques into robust, evaluable systems rather than exploratory prototypes. He brings a pragmatic blend of research rigor and product-minded engineering to real-world NLP challenges.
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