Raed El Aoun
About Raed El Aoun
Raed El Aoun is a Machine Learning Engineer and Data Scientist currently working at Université de Montréal and Airudi Inc. in Montreal, Quebec, Canada, with a strong background in machine learning applications and a Master's degree in Artificial Intelligence.
Work at Airudi
Raed El Aoun has been employed at Airudi Inc. as a Machine Learning Engineer since 2022. His tenure at the company spans two years, during which he has worked in a hybrid environment in Montreal, Quebec, Canada. His role involves developing machine learning models and applications, contributing to the company's projects and initiatives.
Current Position at Université de Montréal
Since 2023, Raed El Aoun has been working as a Data Scientist and Researcher at Université de Montréal. This position marks his first year at the institution, where he continues to engage in research and application of data science methodologies, furthering his expertise in the field.
Previous Experience in Machine Learning
Raed El Aoun has a diverse background in machine learning roles. He worked as a Machine Learning Engineer at SBQuantum from 2022 to 2023 and previously held a similar position at Keyrus from 2019 to 2020. Additionally, he served as a Data Scientist at Keyrus for five months in 2019 and completed an internship as a Machine Learning Engineer at Orange Tunisie in 2018.
Educational Background
Raed El Aoun holds a Master's degree in Artificial Intelligence from Polytechnique Montréal, which he completed from 2020 to 2022. He also earned an Engineer's degree in Data Science from Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT from 2016 to 2019. Earlier, he obtained a Bachelor's degree in Information Technology and Communication from Institut Supérieur des Etudes Technologiques en Communications de Tunis, studying from 2013 to 2016.
Research Focus and Skills
Raed El Aoun specializes in machine learning applications, particularly in the areas of video, audio, and human emotions. He is proficient in Python and possesses a strong understanding of machine learning and deep learning concepts. He actively tracks the latest trends in research and is known for proposing innovative ideas and solutions to problems.