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Fares El Kahla has a diverse work experience in the field of computer science and artificial intelligence. Fares is currently working as a Computer Vision Engineer at InstaDeep Ltd since October 2021. Prior to that, they worked as an Artificial Intelligence Researcher at the University of Michigan from February 2021 to July 2021. Fares also served as a Deep Learning Researcher at the University of Michigan from March 2020 to July 2020. Fares has additional experience as a Software Engineer at the National Agency for Tobacco and Swidden in 2019 and at Medianet in 2018.

Fares El kahla obtained their Bachelor's degree in Computer Software Engineering from INSAT - Institut National des Sciences Appliquées et de Technologie in the years 2016 to 2021. Fares then pursued a Master's degree in Artificial Intelligence in Sound Video and Perception from the National Engineering School of Tunis (ENIT), University of Tunis El Manar from 2020 to 2021.

In addition to their formal education, Fares has obtained several certifications. In 2019, they completed the course "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization" from Coursera. Fares continued to expand their knowledge in deep learning by completing the "Structuring Machine Learning Projects" course in 2019 and the "Neural Networks and Deep Learning" course in 2019, both from Coursera as well. In 2020, they obtained certifications in "Convolutional Neural Networks" and "Deep Learning Specialization" from Coursera. Furthermore, in 2022, they earned the "Machine Learning DevOps Engineer" certification from Udacity.

Fares also holds a TOEFL certificate from TOEFL® obtained in January 2021, with a score of 104 out of 120. These certifications demonstrate their dedication to continuous learning and their specialization in the field of Artificial Intelligence.