Narges Tabari
Applied Scientist II at Amazon Web Services (AWS)
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolNarges Tabari is an Applied Scientist II at AWS in San Francisco with nine years of experience building generative AI, recommendation, personalization, and NLP systems. She holds a Ph.D. in Software and Information Systems and has applied academic rigor to real-world problems across industry and research, from biomedical NLG at Genentech to production ML at AWS. Her research background includes first-author work in emotion and hate-speech detection and developing factual-consistency tools for summarization using BERT/RoBERTa/XLNet. Narges teaches and mentors—as former deep learning course instructor—and bridges model research with engineering to deploy robust NLU/NLG solutions. She combines multidisciplinary training in mathematical finance and computer science with hands-on experience across academia, startups, and large tech, enabling pragmatic yet research-driven approaches to complex language problems. A visible researcher and code contributor, she maintains a GitHub and Google Scholar presence that reflects ongoing engagement with the NLP community.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Software and Information Systems, Doctor of Philosophy (Ph.D.) Software and Information Systems at University of North Carolina at CharlotteAmirkabir University of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
pytorch10
python10
natural-language-processing10
nlp10
transformers9
machine-learning9
language-model9
bert9
tensorflow9
deep-learning9
speech-recognition9
transformer9
jax8
seq2seq7
flax6
Programming languages (1)
Github contributions (5)
nargesam/factCC
Jan 2020 - Feb 2020
Contributions:24 commits, 23 pushes, 1 branch in 28 days
nargesam/CS-ML-Basics
Mar 2020 - Aug 2021
Contributions:16 pushes in 1 year 5 months
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