Mohamed Chebbi

Mohamed Chebbi began their career in 2019 as a Summer Intern at NextMoveTn. In 2020, they worked as an Engineering Intern at Deep Learn Strategies Limited. In 2021, they joined Trabotyx as a Machine Learning and Computer Vision Engineer, where they were responsible for solving robotics computer vision problems, leading data collection, exploration, cleaning, visualization and annotation, and building machine learning models for computer vision tasks like segmentation, object detection, and tracking. Additionally, they held the role of Robotics Engineering Intern at Trabotyx.

Mohamed Chebbi began their education in 2012, when they obtained their High School degree from High School Ibn Abi Dhief Manouba, majoring in Technology. Mohamed then attended the Preparatory Institute for Engineering Studies - El-Manar (IPEIEM) from 2016 to 2018. In 2018, they graduated with a Bachelor of Engineering - BE from ENSTAB - Ecole Nationale des Sciences et Technologies Avancées à Borj Cédria, majoring in Advanced Electronics and Nanotechnology. In addition to their formal education, Mohamed Chebbi has obtained multiple certifications from Coursera and Udemy, including Deep Learning Specialization, Sequence Models, Intro Robotics Developer Course - Using ROS in Python, Learn BERT - most powerful NLP algorithm by Google, Modern Natural Language Processing in Python, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Neural Networks and Deep Learning, and Structuring Machine Learning Projects.