Amr Saeed Mohamed

• 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
• Trained new team members by relaying information on company procedures and safety requirements.
• Promoted a positive work environment by fostering teamwork, open communication, and employee recognition initiatives.
• Served as a role model for the team by demonstrating commitment to excellence, professionalism, and adherence to company values at all times.
• Coached team members in techniques necessary to complete job tasks.
• Enhanced overall team performance by providing regular coaching, feedback, and skill development opportunities.
• Collaborated with other department leads to streamline workflows, improve interdepartmental coordination, and achieve business goals collectively.

• 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.
• Built scalable deployment solutions with containerization tools like Docker for seamless integration into existing production workflows.

• Led the team through fulfillment of multiple projects.

• Coordinated work tasks and projects' deliverables with management.

• Managed risks and mitigated potential issues through proactive planning, monitoring, and timely decisionmaking.

• Worked on researching, developing, and implementing models for wide range of tasks, including but not limited to: Face recognition, face detection, object detection, pose estimation, and object counting.
• Used multiple frameworks (Tensorflow, Keras, PyTorch, MXNET)

• Worked as part of a team designing and developing an online proctoring tool that employs the use of machine learning models to detect cheating and deter cheating attempts.
• Implemented modules to serve multiple models (Face recognition, face detection, pose and gaze estimation, scene change detection) that work in conjunction to detect any abnormal user behavior.
• Partook in authoring a paper that is accepted for AIED21.

• Assisted in Operating Systems & Distributed Systems courses
• Evaluated & graded course projects codes & demos
• Aided students as needed throughout the courses

• Extensively worked on developing a 2D & 3D tool for annotating video frames.
• Worked on implementing a novel approach for LiDAR and camera fusion-based semantic segmentation techniques using deep learning.

• Implemented a deep learning approach to generating recommendations
• Authored a paper with results and findings and submitted to RecSys Challenge