Fethi Bougares is Head of Research at ELYADATA with 11 years of experience bridging academic NLP research and industry applications in machine translation, ASR, and Arabic morphological analysis. He holds a PhD in Automatic Speech Recognition and previously served as an associate professor at Le Mans Université, bringing deep expertise in neural and statistical approaches to language technologies. His career includes postdoctoral work in machine translation and contributions to European projects like MateCat, reflecting a strong track record in collaborative, funded research. Fethi combines hands-on model development in neural machine translation and deep learning with practical system integration for speech and language pipelines. Fluent in both research and product contexts, he focuses on turning cutting-edge models into deployable solutions for multilingual and morphologically rich languages. An often-overlooked strength is his long-standing engagement across academia and industry, which gives him a rare fluency in both experimental rigor and production constraints.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université de Monastir
Master Artificial intelligence and the Web (IAW), Master Artificial intelligence and the Web (IAW) at Université Grenoble Alpes
Doctor of Philosophy - PhD Automatic Speech Recognition, Doctor of Philosophy - PhD Automatic Speech Recognition at Le Mans Université
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