Mastering Computer Vision: From Image Processing to 3D Reconstruction

As a computer vision engineer with over two years of experience, I am passionate about developing cutting-edge computer vision solutions that drive innovation and solve complex problems for a range of industries. My areas of expertise include image processing, object detection, deep learning, and machine vision, which allow me to design and implement efficient, reliable, and scalable computer vision systems using popular frameworks such as TensorFlow, PyTorch, and OpenCV. Additionally, I am skilled in utilizing advanced tools such as DeepStream, TensorRT, and OpenVINO, as well as programming languages such as C++, to accelerate deep learning inference, optimize deep learning models, and deploy them on edge devices. In my previous roles, I have demonstrated my ability to collaborate effectively with cross-functional teams and stakeholders to identify business objectives and deliver solutions that exceed expectations. Specifically, I have experience in developing computer vision applications for surveillance, autonomous vehicles, and robotics, as well as customizing off-the-shelf algorithms for specific use cases. I am committed to staying up-to-date with the latest trends and techniques in computer vision and constantly exploring new tools to enhance my skills

At NeuroTech, our team is pioneering AI-driven solutions in the different sectors,Compute, leveraging my background in Computer Science and Artificial Intelligence from Benha University. We've successfully developed Artificial Intelligence and data analytics strategies that have positioned us at the forefront of industry innovation.

With a strong foundation in ArtificialIntelligence, we focus on creating tools that not only enhance customer experiences but also drive organizational growth. Our commitment to excellence at NeuroTech has fostered a culture where cutting-edge technology meets practical business applications.