Mohamed Zahran

Senior Machine learning Engineer

Mohamed is a senior machine learning engineer with over 4 years of experience applying deep learning and computer vision to build innovative products and solutions. He has worked at leading companies including Genius Sports, Webville, and Valeo, where he has co-operated with cross-functional teams to develop machine learning pipelines and algorithms.

Mohamed has expertise in areas such as computer vision, GANs, object detection, semantic segmentation, sensor fusion, and motion forecasting. He has mentored other engineers and published research papers on topics related to autonomous driving that have been accepted to top conferences like ICLR and CoRL. Mohamed holds a B.Sc. in Communication and Electronics Engineering from Tanta University, where he completed a graduation project designing an autonomous human-following robot.

With a proven track record of delivering impact through machine learning, strong technical and communication skills, and experience leading diverse teams, Mohamed is well-positioned to continue advancing his career as a senior machine learning engineer. His blend of industry experience and research background in autonomous driving and robotics would make him a great fit for companies looking to build innovative products at the intersection of artificial intelligence and transportation.

Overall, Mohamed comes across as a driven and accomplished senior machine learning engineer with diverse experience applying state-of-the-art deep learning techniques to build solutions for complex real-world problems. His CV demonstrates a progression of increased responsibilities and impact over the course of his career so far. With continued dedication, Mohamed has the potential for further growth into leadership and specialized research roles within the machine learning engineering field.

Mohamed earned his Bachelor of Science in Communication and Electronics Engineering from Tanta University in Egypt in 2016. His coursework included topics such as communication systems, electronics, waves, satellite communication, mobile communication, networks, and security.

For his graduation project, Mohamed designed and implemented an autonomous robot prototype capable of following a human while avoiding obstacles. This project demonstrated his ability to apply his technical skills to build innovative solutions.

While Mohamed's CV provides limited details on his specific coursework, projects, awards, or achievements during his bachelor's degree, his graduation project and degree in Electrical Engineering provide a solid technical foundation for his career as a machine learning engineer. With further details on relevant courses or projects in machine learning, deep learning, and computer vision, the education section of the CV could be strengthened. However, his subsequent work experience and publications suggest he has continued to build expertise in these areas since earning his degree.

In summary, Mohamed's education includes a bachelor's degree in Communication and Electronics Engineering from Tanta University that provided him with knowledge in areas relevant to machine learning and robotics. His graduation project in particular highlights an early ability to design complex technical solutions. For some roles, additional details on coursework and projects related to machine learning and computer vision could help provide more context around Mohamed's technical background prior to entering industry. Please let me know if you would like me to modify or add any additional information in my summary of your education.