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AmrAbdrabo

Amr Abdelaziz@AmrAbdrabo

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1 year of experience

About me

I am a passionate Software Engineer with a strong foundation in both hardware and software development, specializing in real-time systems, microcontrollers, and networked embedded solutions. With a Bachelor’s degree in Mechatronics Engineering and currently pursuing a Master’s in Embedded Systems Engineering, I have developed solid expertise in autonomous systems, path planning, and advanced control algorithms. My experience spans embedded software development in ADAS environments using Classic AUTOSAR, alongside hands-on knowledge in software testing and debugging with industry-standard tools. I am proficient in multiple programming languages including Python, C/C++, and Java, and have practical skills in ROS for robotic system development. Additionally, I possess strong capabilities in machine learning, deep learning, and artificial intelligence, applying these skills to solve complex problems such as reinforcement learning for robotic path planning and optimization in autonomous vehicle control. My interdisciplinary background enables me to bridge the gap between embedded systems engineering and AI-driven intelligent solutions. I am eager to leverage my technical expertise and innovative mindset to contribute to cutting-edge projects in embedded and autonomous systems.

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Ibrahim Maher

Pursuing a Master’s degree in CS. Interested in Cool Projects related to AI, testing Capabilities.

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Karim Badreldin

I have a Master’s degree in Software Engineering from the University of Stuttgart, specializing in Artificial Intelligence, I bring a strong foundation in both advanced AI theory and practical software development. My academic and professional journey has been centered on AI-driven systems, including deep learning, computer vision, and reinforcement learning. I’ve developed cutting-edge models for multi-human pose forecasting using temporal and attention-based architectures, as well as real-time object detection, tracking, and path planning for autonomous vehicles. Professionally, I’ve delivered impact across roles at TeamViewer and Gameball—contributing to secure system architecture, CI/CD pipeline automation, and API integration. My experience spans both enterprise- scale and startup environments, reflecting adaptability and a results-oriented mindset. With strong analytical skills, deep knowledge of AI and machine learning frameworks, and proficiency in scalable software engineering, I am dedicated to building intelligent, secure, and high-performing systems.

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