Roei Shlezinger is a data scientist with eight years of experience combining a Master’s in Statistics from the Hebrew University with applied ML and NLP expertise. He has built production-grade systems—such as a Gemini-backed RAG chatbot and FastAPI/Docker services on GCP—and delivered practical NLP tools like a BERT-based toxic comment filter that cut manual moderation by 86%. His work spans research and product: crowdsourced Hebrew Q&A datasets accepted to EMNLP, custom Hebrew stop-lists, and a grammar checker that catches subtle gender and homonym errors. Comfortable moving projects from research to production, Roei is a fast self-learner who thrives on turning statistical rigor into user-facing, high-impact solutions.
8 years of coding experience
3 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at The Hebrew University of Jerusalem
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