Mai Magdi Khater
About Mai Magdi Khater
Mai Magdi Khater is a Senior Machine Learning Engineer currently working at CAPE Analytics in Munich. With a strong background in computer engineering and public health, Khater has held various roles in machine learning and AI across multiple organizations, demonstrating a commitment to applying technology in real-world scenarios.
Work at CAPE Analytics
Mai Magdi Khater serves as a Senior Machine Learning Engineer at CAPE Analytics since 2022. In this role, she applies her expertise in machine learning to develop solutions that leverage data for improved decision-making. Her work focuses on deploying machine learning and AI in real-life scenarios, aligning with the company's mission to provide actionable insights through advanced analytics.
Education and Expertise
Mai holds a Bachelor's Degree in Computer Engineering from The American University in Cairo, which she completed from 2010 to 2016. She furthered her education with a Master of Public Health from the same institution, studying from 2019 to 2021. Additionally, she participated in a summer program in Computer Engineering at the University of California, Berkeley in 2015. Her academic background supports her expertise in machine learning and artificial intelligence.
Professional Background
Mai has a diverse professional background in machine learning and artificial intelligence. She has held various positions, including Senior Machine Learning Engineer at Valeo and AI Research Engineer at Mendel.ai. Her experience also includes roles as a Research Assistant at The American University in Cairo and as an Instructor at Fab Lab Egypt. She has collaborated with organizations such as IndabaXEgypt and has interned at IBM.
Achievements in Machine Learning
Throughout her career, Mai has demonstrated a commitment to applying machine learning in practical contexts. She has worked on multiple projects that focus on delivering real value through technology. Her role as a co-organizer for IndabaXEgypt highlights her involvement in the machine learning community, promoting knowledge sharing and collaboration in the field.
Values and Collaboration
Mai values working in technically challenging and goal-oriented environments. She enjoys collaborating with both small and large teams to achieve clear objectives. Her belief in delivering work that has real value reflects her philosophy of serving through her professional contributions, particularly in the fields of machine learning and AI.