Marah Halawa
Visiting Researcher at SAP Signavio
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMarah Halawa is a Visiting Researcher and PhD candidate in Computer Science based in Berlin with nine years of experience building and researching machine learning systems across industry and academia. She holds an M.Sc. from TU Berlin and has applied deep learning to speech, facial expression recognition, and production-grade fraud detection using sequential models like LSTMs and Transformers at Zalando. Her doctoral work investigates visual understanding bottlenecks in modular, hierarchical temporal vision systems for closed perception–action loops, bridging theoretical research with practical system design. Marah has interned and collaborated with SAP on adversarial and disentangled representation learning and contributed to industry research at Bayer and SAP Signavio. Known for combining strong experimental ML skills (PyTorch, Python, Sagemaker) with applied problem-solving, she brings a researcher’s rigor to real-world AI products. An engaged community member, she also volunteers on women-in-tech initiatives and maintains scholarly visibility via Google Scholar and ResearchGate.
9 years of coding experience
6 years of employment as a software developer
Bachelor Artificial Intelligence, Bachelor Artificial Intelligence at Damascus UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Technische Universität Berlin
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
representation-learning5
representations4
contrastive-learning4
nlp3
self-supervised-learning3
pre-trained-model2
chatbot2
unsupervised-learning2
pytorch1
Programming languages (2)
Github contributions (5)
MarahHalawa/ml2-sheet3
May 2017 - May 2017
Contributions:5 pushes, 1 branch in 1 day
amos-ws17/amos-ws17-proj1
Oct 2017 - Jan 2018
Contributions:2 releases, 20 commits, 9 PRs in 3 months
chatbotnlpconversational
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