Mohamed Rahmouni

Mohamed Rahmouni is a Data Scientist at BioSerenity since March 2018, specializing in software tool development and machine learning pipelines in the biomedical domain, including signal processing research and deep learning applications utilizing AWS cloud solutions. Prior to this role, Mohamed completed a Signal Processing and Machine Learning internship at BioSerenity from June to December 2017 and gained experience in big data during an internship at Data Bridge Tunisia in June 2016, focusing on the deployment and management of a cloud-based Hadoop cluster. Educationally, Mohamed holds an Engineer’s Degree in Information Technology from INSAT (2012-2017) and a Baccalaureate in Mathematics from Pioneer School of El Kef (2008-2012).