Maor Ivgi is an AI researcher and entrepreneur with a PhD in Computer Science from Tel Aviv University and over a decade of experience building scalable, reliable ML systems across NLP, computer vision, and network analysis. He co-founded and served as CTO of Demystify-AI, developing an explainable AI platform for healthcare and finance, and has advised Israeli companies on production-grade NLP and data science. Maor’s research advances large language models—covering scaling, long-context processing, fallback behaviors, and data curation—and he has recent experience at Meta’s GenAI team and in a stealth AI research role. He also teaches a popular NLP course at Tel Aviv University that has trained nearly 500 students, demonstrating a commitment to translating research into practice and talent development. An underappreciated strength is his track record of applying rigorous research methods to high-stakes domains (energy, law enforcement, finance), where reliability and explainability matter most.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tel Aviv University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The Hebrew University of Jerusalem
Computer Science, Computer Science at MEET, Middle East Education through Technology
This repository contains the code for the Creative Image Generation from Scene Graphs
Contributions:3 PRs, 31 pushes, 5 branches in 2 months
graphsimage-generationscene
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