I'm Mohamed Seyam! 👋
I'm an AI Engineer specializing in Computer Vision and Medical Imaging with expertise in advanced AI techniques for healthcare.
Currently, I’m working at Medsoft on cutting-edge solutions in CranioMaxilloFacial Surgery, focusing on advanced segmentation, mesh processing, and CT image analysis.

🔧 Technical Skills & Expertise

• Deep Learning & AI : Proficient in TensorFlow, PyTorch, and AWS SageMaker for building complex 3D segmentation models and automated machine learning pipelines.
• Computer Vision: Expertise in 2D and 3D image processing, statistical shape modeling, action recognition, and object tracking to enhance surgical planning and analysis./li>
• Generative AI & Reconstruction: Leveraging generative models and autoencoders for trauma reconstruction and synthetic data generation.
• Medical Imaging: Skilled in CT and MRI processing, mesh segmentation, and soft-tissue simulation to support CranioMaxilloFacial applications.
• Computational Geometry: Applying techniques in mesh processing, computational geometry, and statistical shape modeling to create precise, clinically relevant solutions.

🚀 Current Projects

• Developing 3D segmentation pipelines for anatomical region analysis.
• Implementing innovative 3D landmarking using 2D U-Net and computer graphics integration.
• Collaborating with global R&D teams, including DePuy Synthes at Johnson & Johnson, to deliver AI-driven solutions for medical applications.

🌱 My Background

• Education: Bachelor's in Systems and Biomedical Engineering from Cairo University, graduating in the top 10 of my class.
• Research: Conducted deep learning research on automated identification of swallowing kinematics, partnering with international institutions.