Etienne Monneret is an AI R&D engineer and founder with three decades of experience in advanced algorithms, neural networks and multilingual document processing, now focusing on applied LLM/VLM, STT/TTS and generative AI. He created NeuroSpell, an early deep-learning based spell-and-grammar corrector with integrated speech features deployed across multiple languages, and leads product and research work at EVERIAL and cubAIx on RAG systems, fine-tuning multimodal models, and sovereign-hosted pipelines. His background blends hands-on engineering, project leadership and academic training (PhD in AI), enabling end-to-end delivery from model design to industrial deployment and R&D tax-credited innovation. Notably, he builds practical open-source tools (karaok-AI, ChatMate, Libellex) that bridge research ideas and real-world workflows, reflecting a rare mix of long-term domain expertise and continual experimentation.
8 years of coding experience
10 years of employment as a software developer
Doctorat, Intelligence artificielle, réseaux neuronaux, Doctorat, Intelligence artificielle, réseaux neuronaux at Université de Caen Basse Normandie
Diplôme d'ingénieur, Informatique et Intelligence Artificielle, Diplôme d'ingénieur, Informatique et Intelligence Artificielle at ENSICAEN - Ecole Nationale Supérieure d'Ingénieurs de Caen
Contributions:35 commits, 44 pushes, 1 branch in 1 month
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Etienne Monneret - Ingénieur R&D IA at cubAIx (Micro)