Teaching Assistant at Technische Universität Darmstadt
Darmstadt, Hesse, Germany
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Summary
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Senior
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Top School
Ahmed Hendawy is a PhD candidate and teaching assistant at TU Darmstadt specializing in multi-task and continual learning for deep reinforcement learning, with a research focus on transferring knowledge across tasks to accelerate agent learning. With eight years of experience spanning academia and industry, he has applied RL and few-shot learning techniques during internships and R&D roles at Bosch, Fraunhofer IPA, and research labs in Stuttgart and Munich. He teaches the course "Reinforcement Learning: From Foundations to Deep Approaches" and develops application-agnostic RL algorithms with a practical leaning toward robot learning. His background in mechatronics and hands-on projects—from competitive vehicle innovation to few-shot object detection—gives him a rare combination of systems-level engineering and cutting-edge ML research. Based in Darmstadt, he pairs rigorous academic training with industry experience to push lifelong and multi-task RL toward real-world robotic applications.
8 years of coding experience
3 years of employment as a software developer
C++ Nanodegree, Computer Science, C++ Nanodegree, Computer Science at Udacity
Technischen Universität Darmstadt
Bachelor of Science - BS, Mechatronics Engineering, Excellent with Highest Honors, Bachelor of Science - BS, Mechatronics Engineering, Excellent with Highest Honors at The German University in Cairo
Bachelor thesis, Mechatronics, Excellent (A+), Bachelor thesis, Mechatronics, Excellent (A+) at Technische Universität München
Master of Science (M.sc.), Information Technology (INFOTECH) - Computer Hardware/Software Engineering, 1.5, Master of Science (M.sc.), Information Technology (INFOTECH) - Computer Hardware/Software Engineering, 1.5 at University of Stuttgart
Contributions:70 pushes, 5 branches in 3 years 5 months
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Ahmed Hendawy - Teaching Assistant at Technische Universität Darmstadt