Marawan Shalaby
Machine Learning Engineer at zooplus
Riemerling, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolMarawan Shalaby is a Machine Learning Engineer with 11 years of hands-on experience building production-ready ML systems, currently driving ML initiatives at zooplus in Bavaria. He holds an MSc in Informatics from TUM and has a strong track record of taking models from idea to production—designing APIs, CI/CD, monitoring, and deployments on platforms like Kubeflow and OpenShift. His background spans recommender systems, image segmentation, NLP and causal what-if tooling, with measurable impact such as tripling CTR on personalized recommendations and optimizing purchase allocation for millions of customers. Comfortable across the ML stack, he pairs deep modeling skills (PyTorch, TensorFlow, Keras) with engineering rigor (FastAPI, Dask, Prometheus) to ensure scalability and SLAs. Notably, his academic work extended paragraph vector approaches with hierarchical context and LSTM sequences, reflecting a blend of research depth and practical product delivery.
11 years of coding experience
13 years of employment as a software developer
Master of Science (MSc) Informatics, Master of Science (MSc) Informatics at Technical University of MunichData Engineering Nanodegree, Data Engineering Nanodegree at UdacityBsc E-Commerce, Bsc E-Commerce at Arab Academy for Science, Technology and Maritime Transport
English, Arabic, French, German
Stackoverflow
448reputation
59kreached
5answers
1question
Github Skills (28)
python9
machine-learning9
deep-learning9
tensorflow8
pytorch8
neural-network8
data-science8
amazon7
sparse7
bot-framework6
html6
jupyter-notebook6
effects6
keras6
force-layout6
Programming languages (3)
Github contributions (5)
marawanokasha/fhv_paper_code
Apr 2017 - Jan 2018
Contributions:17 commits, 1 push, 1 branch in 8 months
marawanokasha/thesis-benchmark
May 2016 - Apr 2017
Contributions:29 pushes, 1 branch in 11 months
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