Mohamed Amine Ben Ammar

Mohamed Amine Ben Ammar

Software Engineer @ InstaDeep

About Mohamed Amine Ben Ammar

Mohamed Amine Ben Ammar is a Software Engineer with experience in building scalable AI-driven systems. He has worked at various institutions in Tunisia, including ENISo and InstaDeep Ltd, and holds a Bachelor's and a Master's degree in Computer Science and Management Information Systems, respectively.

Work at InstaDeep

Mohamed Amine Ben Ammar has been employed at InstaDeep Ltd as a Software Engineer since 2021. His role involves building and deploying scalable AI-driven systems, utilizing his expertise in software design, machine learning, and data science. He previously worked at InstaDeep for a short duration of four months in 2021, before continuing his tenure. His contributions to the company are aligned with the growing demand for advanced AI solutions in various industries.

Education and Expertise

Mohamed Amine Ben Ammar holds a Bachelor's degree in Computer Science from Université de Monastir, which he completed from 2015 to 2018. He further pursued a Master's degree in Management Information Systems at the same university, graduating in 2021. His educational background provides a strong foundation in software engineering principles. He possesses expertise in building and deploying scalable AI-driven systems, alongside a versatile skill set that emphasizes software design, machine learning, and data science.

Background

Before joining InstaDeep, Mohamed Amine Ben Ammar gained valuable experience in various roles. He worked as a Research Development Software Engineer at satoripop from 2020 to 2021, following a two-month research internship at the same company in 2019. Additionally, he served as a Research Assistant at ENISo - National Engineering School of Sousse, Tunisia, from 2020 to 2021. His background reflects a consistent focus on research and development within the software engineering field.

Achievements

While specific achievements are not detailed, Mohamed Amine Ben Ammar's career trajectory showcases a commitment to learning and problem-solving in software engineering. His work in various capacities, particularly in AI-driven systems and software development, indicates a proactive approach to contributing to technological advancements. His educational qualifications and professional experiences suggest a solid foundation for future contributions in the field.

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