Summary
Asaf Dahan is an AI Lead and experienced data science manager with nine years driving ML and research-led solutions in cybersecurity, from Unit 8200 to Palo Alto Networks and multiple founding-stage roles at Nagomi Security. He architects end-to-end AI systems—building production ML models, high-scale data pipelines, and a proprietary AI SDK and Snowflake semantic layer to convert raw telemetry into agentic reasoning. Asaf has deep hands-on expertise across classic ML, NLP, vision, supervised/unsupervised methods, MLOps, and security-specific algorithms like asset correlation and exposure detection. He’s led projects from POC to enterprise production, established AI eval frameworks (LangSmith, Portkey), and standardized AI toolchains to ensure reliable autonomous remediation at scale. Based in Tel Aviv, he combines intelligence-community roots with product-driven engineering, often translating adversarial cyber research into pragmatic, deployable defenses. Colleagues describe him as a pragmatic researcher who prefers shipping robust, measurable systems over academic novelty.
8 years of coding experience
12 years of employment as a software developer
AI-Powered DS, Applied DL & GenAI, AI-Powered DS, Applied DL & GenAI at Nebius Academy Israel (formerly Y-DATA)
Military Courses, Networking and Cyber Security, Military Courses, Networking and Cyber Security at Unit 8200 - Israeli Intelligence Corps
High School, Computer Science and Phyisics, High School, Computer Science and Phyisics at Aviv High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The Open University of Israel
English, Hebrew, Spanish