Tomer Raviv is an AI researcher with eight years of experience focused on improving the safety and integrity of large language models through machine unlearning and mitigation of toxicity, bias, hallucinations, and prompt-injection vulnerabilities. He has held research and leadership roles across industry and defense, including AI Researcher positions at Hirundo and Tavily and leading data science teams in the Israel Defense Forces. Tomer pairs a strong academic foundation—pursuing a PhD in Electrical and Electronics Engineering at Ben-Gurion University with an MS from Tel Aviv University—with practical expertise applying ML to physical-layer communications. His work uniquely bridges model-level safety techniques and communications theory, informed by a background in electronic engineering and a Model-Based for Communication YouTube channel. Colleagues describe him as both methodical and security-minded, able to translate complex research into robust, deployable safeguards for real-world systems.
8 years of coding experience
7 years of employment as a software developer
Psagot
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Tel Aviv University
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Ben-Gurion University of the Negev
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