Summary
Guy Shtar is an AI safety and security architect with eight years of experience building adversarially robust systems and operationalizing generative AI security at scale. Currently leading org-level AI safety initiatives at Intuit after advancing adversarial ML research there, he has driven practical defenses for generative models and earned a CISO award for GenAI security contributions. His background spans product-grade ML work at Salesforce, fraud and text-mining leadership in telecom research labs, and deploying anomaly detection in security products, giving him rare fluency from research to production. A PhD candidate in Software and Information Systems Engineering, he also teaches and mentors on unsupervised ML and applied projects like sepsis prediction. Based in Tel Aviv, he blends academic rigor with hands-on engineering and a track record of translating client needs into deployable AI solutions. Notably, he pairs deep adversarial research with practitioner-focused tooling to make generative AI systems both useful and resilient.
8 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD Software and Information Systems Engineering (SISE), Doctor of Philosophy - PhD Software and Information Systems Engineering (SISE) at Ben-Gurion University of the Negev
English, Hebrew, Portuguese