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welcome

I'm Mohamed Seyam! šŸ‘‹
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.


šŸ”§ 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.

šŸš€ 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.