Shoval Sadde

Machine Learning Engineer at M47 - AI Company

Barcelona, Catalonia, Spain
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Summary

👤
Senior
🎓
Top School
Shoval Sadde is a Machine Learning Engineer based in Barcelona with nine years of experience specializing in NLP, data engineering and applied ML across research and production environments. She has held roles from research assistant to NLP engineer at AI2 and M47, bridging academic rigor—authored ACL and BioNLP publications—with pragmatic engineering that ships language systems. Trained as a linguist (MA, Tel Aviv University) with a BA in linguistics and psychology, she brings deep linguistic intuition to model design, dataset curation and error analysis. Colleagues describe her as a fast learner, creative multitasker and strong team player who moves smoothly between research prototypes and production pipelines. An underappreciated strength is her ability to translate linguistic theory into scalable engineering solutions that improve real-world language applications.
code9 years of coding experience
job8 years of employment as a software developer
bookMaster's degree Linguistics, Master's degree Linguistics at Tel Aviv University
bookBA linguistics psychology, BA linguistics psychology at Ben-Gurion University of the Negev
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Github Skills (41)

hebrew9
documentation8
javascript8
python7
parser7
nlp6
modification6
kebab-case6
cython6
ai6
natural-language-processing6
machine-learning6
ipython6
text-classification6
prefix6

Programming languages (7)

JavaC++GoHTMLPerlJupyter NotebookPython

Github contributions (5)

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shovalsa/shecodes_website

Jun 2017 - Sep 2017

Contributions:59 commits, 57 pushes, 1 branch in 3 months
OnlpLab/Hebrew-Parsing-Demo

Nov 2018 - Mar 2021

UI for YAP Hebrew Parser (https://github.com/habeanf/yap)
Contributions:11 PRs, 51 pushes, 5 branches in 2 years 4 months
parser
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