Amr Mohamed

• Managing and Leading a team of 15+ engineers responsible for the Machine Learning and Software development of TRAFFITIX product • Developed and designed the system architecture for TRAFFITIX based on multiple software patterns (micro-services, layered, client-server) • Improved system efficiency by ~30% using innovative runtime checks. • Worked closely with stakeholders to guide the technical development of the project based on client and market needs.

• Oversaw the planning and execution of all R&D computer vision and deep learning projects in the AI department. • Researched, developed and maintained approaches for Face Recognition, Object Detection, Segmentation, and many others • Coordinated requirements between management and team members.

• Worked on a multifaceted project that involves a multitude of computer vision engines. This includes handling the development of the engine and assisting with its deployment. • Technical lead of a intelligent traffic monitoring project overseeing hardware and software development. • Worked as project supervisor of a face recognition solution. • Acted as program supervisor of AI training academy courses overseeing the preparation and administering of 3 AI courses.

Worked on researching, developing, and implementing models for a wide range of tasks, including but not limited to: Face recognition, face detection, object detection, pose estimation, object counting.