Maayan Shalom is a Lead AI Research Scientist with nine years of experience building and deploying safety-critical ML systems that process millions of data points daily. She blends a strong mathematical background and an MS in Electrical and Electronics Engineering with hands-on leadership across startups and research labs, from founding ML infrastructure at Zone7 to architecting production RAG pipelines at Upword. Maayan has led NLP and legal-tech initiatives, developed real-time conversational systems, and driven social media intelligence products as a founding AI lead at Hive. She focuses on large language models, retrieval-augmented generation, and model-alignment research, pairing rigorous theory work at Tel Aviv University with production-grade implementation. Known for establishing evaluation protocols and robustness practices, she routinely translates research insights into scalable, auditable pipelines. Based in Tel Aviv, she combines academic rigor with product-first execution and a keen interest in AI safety that informs both research and engineering decisions.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Tel Aviv University
Bachelor of Science (BSc) Electrical and Computer Engineering, Bachelor of Science (BSc) Electrical and Computer Engineering at Ben-Gurion University of the Negev
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