Summary
Ali Saghiran is a machine learning engineer with a decade of experience bridging signal processing, cognitive science, and applied ML—holding a PhD focused on speech processing and production. He has built and deployed audio and IMU pipelines for industrial real-time inference at ARaymond, and previously developed speech-to-text, voice feature extraction and emotion-analysis APIs for mental-health applications. Comfortable across research and production, he has contributed to public scientific software (BRAID) and supervised interns while translating probabilistic cognitive models into practical ML solutions. Based in Grenoble, he blends strong Bayesian and deep-learning expertise with hands-on MLOps practices, and brings the uncommon perspective of a cognitive scientist who designs models with an explicit understanding of human speech perception.
10 years of coding experience
5 years of employment as a software developer
Research Master, Cognitive Science, M2R, Research Master, Cognitive Science, M2R at Université Grenoble Alpes
Master of Engineering (M.Eng.), Signal processing , Image processing & communication technology, Master of Engineering (M.Eng.), Signal processing , Image processing & communication technology at Grenoble INP - Phelma
Classes préparatoires aux grandes écoles, Physique & Sciences pour l'ingénieur, Classes préparatoires aux grandes écoles, Physique & Sciences pour l'ingénieur at Lycée Henri Moissan
English, French, German, Arabic