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.
9 years of coding experience
8 years of employment as a software developer
Master's degree Linguistics, Master's degree Linguistics at Tel Aviv University
BA linguistics psychology, BA linguistics psychology at Ben-Gurion University of the Negev
UI for YAP Hebrew Parser (https://github.com/habeanf/yap)
Contributions:11 PRs, 51 pushes, 5 branches in 2 years 4 months
hebrewyapparser
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Shoval Sadde - Machine Learning Engineer at M47 - AI Company