Mohamed Amine Bennaji
About Mohamed Amine Bennaji
Mohamed Amine Bennaji is a Machine Learning Engineer with a strong background in data science and engineering. He has worked at various organizations, including InstaDeep Ltd and ADDIXO, where he developed machine learning models and contributed to data pipelines and AI solutions.
Current Role at InstaDeep
Mohamed Amine Bennaji currently serves as a Machine Learning Engineer at InstaDeep Ltd, a position he has held since 2020. In this role, he contributes to the development of machine learning models and collaborates with software developers, QA engineers, and DevOps teams to enhance CI/CD pipelines. His work focuses on deploying and monitoring AI solutions across various platforms, including cloud environments and edge devices.
Previous Experience in Data Science and AI
Before joining InstaDeep, Bennaji gained valuable experience in data science and artificial intelligence. He worked as an AI Engineer at ADDIXO for five months in 2019, where he led data visualization projects. He also served as a Data Science Apprentice at ENISO Google Club for one month in 2018 and as a Computer Vision Apprentice for two months in 2017. Additionally, he was involved with Junior Entreprise ENISo as a Junior-entrepreneur from 2017 to 2018.
Educational Background
Bennaji completed his Diplôme d'ingénieur en Électronique Industrielle et systèmes intelligents at Ecole Nationale d'Ingénieurs de Sousse from 2017 to 2020. He also attended the Preparatory Institute for Engineering Studies - El-Manar, where he completed pre-engineering courses. He further enhanced his skills by obtaining a Data Scientist Nanodegree from Udacity, focusing on data science methodologies.
Technical Skills and Contributions
Bennaji has developed and deployed advanced machine learning models that have improved operational efficiency in various projects. He has collaborated closely with data engineers and domain experts to implement robust ETL and data pipelines. His expertise includes applying statistical methods, clustering, and dimensionality reduction techniques for data analysis and visualization, as well as creating comprehensive documentation for knowledge sharing.
Internship Experience
In 2017, Bennaji completed an internship as an Electrical Engineering intern at Société Tunisienne de l'Electricité et du Gaz (STEG) for one month. This experience provided him with foundational knowledge in electrical engineering principles and practices, complementing his academic studies.