Mai Magdi Khater

Mai Magdi Khater has a diverse work experience in the field of machine learning. Mai currently works as a Senior Machine Learning Engineer at CAPE Analytics. Prior to this, they were a Software Advanced Engineer-Machine learning at Valeo.

Mai also worked as a Research Assistant at The American University in Cairo, where they gained valuable experience in the field. Mai further enhanced their expertise as an AI Research Engineer at Mendel.ai.

In addition, Mai has held multiple roles at Valeo, including Senior Machine Learning Engineer, where they gained practical knowledge of using machine learning on an industrial scale. Mai also worked at Sypron Solutions as an Artificial Intelligence Engineer, focusing on making robots interactive and applying AI and ML theories to different products.

Mai's earlier work experience includes roles as an Instructor at Fab Lab Egypt and as an Embedded Systems lab teacher assistant at the Department of Computer Science and Engineering, AUC. Mai has also worked as a Summer Intern at IBM, where they diagnosed and fixed problems in various machines.

Overall, Mai Magdi Khater has a strong background in machine learning, with experience in research, engineering, and practical applications.

Mai Magdi Khater's education history is as follows: Mai completed a Bachelor's Degree in Computer Engineering at The American University in Cairo from 2010 to 2016. In 2015, they participated in a Summer Program in Computer Engineering at the University of California, Berkeley. Mai then pursued a Master of Public Health (MPH) degree in Global Health and Human Ecology at The American University in Cairo from 2019 to 2021. Additionally, in 2020, they obtained a Master's degree in International/Global Studies from the University of Geneva.