Fethi Bougares is Head of Research at Elyadata with a decade of experience leading NLP, neural network and machine learning initiatives. He holds a PhD in Automatic Speech Recognition and has served as an associate professor and postdoc in machine translation, giving him deep expertise across ASR, MT and neural machine approaches. He has bridged academia and industry through EU-funded projects like MateCat and by translating advanced deep learning research into applied products. Based in Le Mans, France, he brings a particular strength in system combination—combining models and pipelines to boost real-world speech and translation performance.
10 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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