Summary
Bacem Etteib is an AI security researcher and MSc Computer Science student at the University of Luxembourg, specializing in LLM agent ecosystems and the supply-chain risks posed by malicious skills. With nine years of applied experience spanning deep learning for healthcare at MyelinH and computer vision solutions for insurance fraud, he blends research rigor with hands-on engineering. Currently at SnT, he investigates vulnerabilities unique to agentized LLM workflows, bringing practical insights from prior production-facing ML projects. Approachable and inquisitive, he aims to deepen expertise in data science and deep learning while translating security research into auditable mitigations. Notably, his background in neurodegenerative disease monitoring gives him a rare perspective on deploying sensitive ML systems in high-stakes domains.
9 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sorbonne Université
Bachelor of Applied Science - BASc, Computer Engineering, 15.3/20, Bachelor of Applied Science - BASc, Computer Engineering, 15.3/20 at Universität Luxemburg
English, French, Arabic, German