Ahmed Hendawy
Hesse, Germany
Summary
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RockstarAhmed 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
Github Skills (31)
openai-gym9
pybullet8
dqn8
ddpg8
reinforcement-learning8
sac8
multi-task-learning8
jekyll8
mujoco8
pytorch8
data-science7
machine-learning7
github-pages7
jekyll-theme7
deep-learning7
Programming languages (2)
Github contributions (5)
AhmedMagdyHendawy/ahmedmagdyhendawy.github.io
Sep 2019 - Nov 2021
Contributions:114 pushes, 1 branch in 2 years 2 months
AhmedMagdyHendawy/PyLinearSolver
Jun 2020 - May 2023
A python interface package for many well known linear solvers libraries in many languages, Julia, C++, etc...
Contributions:2 releases, 1 PR, 45 pushes in 2 years 11 months
cppjuliapython
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