Ahmed M. A. Sayed
Software Engineer at Queen Mary University of London
London, England, United Kingdom
Summary
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SeniorAhmed Sayed is an Associate Professor and head of the SAYED Systems Group at Queen Mary University of London, specializing in scalable, efficient distributed systems for machine learning, networking, and wireless domains. With over a decade of research and industry experience spanning KAUST, Huawei, and academic roles across Egypt, Hong Kong and the UK, he blends theoretical system design with practical performance optimization and resource-allocation solutions. His group leads KUber, a UKRI-EPSRC-funded project, and he regularly collaborates across QMUL networks and international research labs to translate distributed ML and SDN ideas into deployable architectures. Beyond publications and teaching, he has a track record of technology transfer and entrepreneurship roles in UK innovation programmes, reflecting an applied focus on turning research into real-world systems.
11 years of coding experience
Github Skills (28)
data-versioning9
keras9
hyperparameter-tuning9
collaboration8
python8
deep-learning8
hyperparameter-optimization8
reinforcement-learning8
ai8
machine-learning8
pytorch8
data-science8
gpu7
tensorflow7
mlops7
Programming languages (5)
Github contributions (5)
ahmedcs/SICC
Mar 2017 - Mar 2020
Contributions:33 commits, 15 pushes in 3 years
ahmedcs/HSCC
Jun 2017 - Sep 2023
Contributions:7 pushes, 1 branch in 6 years 4 months
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