Katerina Margatina
Applied Scientist at Amazon Web Services (AWS)
United States
Summary
👤
Senior🎓
Top SchoolKaterina Margatina is an applied scientist and PhD researcher in natural language processing with eight years of experience bridging academic research and industry R&D at AWS and Meta. Her work focuses on active learning, data collection and evaluation, low-resource learning, uncertainty estimation, robustness, modeling disagreement, and fairness—areas that sit at the intersection of practical data pipelines and principled model evaluation. She has hands-on experience deploying research-driven solutions in production settings and teaching NLP courses during her doctoral studies at the University of Sheffield. A visiting PhD researcher in Copenhagen and an engineering graduate from NTU Athens, she brings a cross-cultural, systems-oriented perspective to NLP problems. Colleagues value her ability to translate nuanced research on calibration and disagreement into measurable improvements in data efficiency and model reliability.
8 years of coding experience
2 years of employment as a software developer
Visiting PhD student at the Department of Computer Science Natural Language Processing, Visiting PhD student at the Department of Computer Science Natural Language Processing at Københavns Universitet - University of CopenhagenCharles III University of Madrid (Universidad Carlos III de Madrid)Doctor of Philosophy - PhD Machine Learning/Natural Language Processing, Doctor of Philosophy - PhD Machine Learning/Natural Language Processing at The University of SheffieldElementary - Highschool, Elementary - Highschool at Arsakeia - Tositseia SchoolsDiploma (BEng&MEng) Electrical and Computer Engineering, Diploma (BEng&MEng) Electrical and Computer Engineering at National Technical University of Athens
English, Greek, French, Spanish
Github Skills (47)
emotion-analysis10
python9
acl9
lstm9
dropout9
monte-carlo9
transfer-learning8
active-learning8
deep-learning8
sentiment-analysis8
natural-language-processing8
gpu8
pytorch-lightning8
machine-learning8
temporal-data8
Programming languages (2)
Github contributions (5)
mourga/variational-lstm
Feb 2020 - Aug 2021
PyTorch implementation of Variational LSTM and Monte Carlo dropout.
Contributions:33 commits, 2 PRs, 3 pushes in 1 year 6 months
pytorchpythondeep-learninglstmneural-networks
mourga/transformer-uncertainty
Mar 2021 - Aug 2021
Contributions:77 commits, 2 pushes, 1 branch in 4 months
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