Summary
Rahim Entezari is an applied scientist based in Vienna with 11 years of experience probing when and why neural networks succeed or fail. He combines deep research instincts—PhD-level AI training from TU Graz and publications with Google/ICLR—with hands-on product impact, having driven evaluation, safety, and efficiency work on Stable Diffusion and fast video generation at Stability AI. At Wayve he now applies world-model approaches to autonomous vehicles, bridging generative-model expertise with real-world sequential decision problems. He co-founded a tech startup and has a track record of building data and evaluation pipelines that improve model generalization and reduce memorization, an often-overlooked practical lever for safer deployment.
11 years of coding experience
5 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Iran University of Science and Technology
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Technische Universität Graz
Diploma Math, Diploma Math at NODET
Amirkabir University of Technology
Sharif University of Technology
German, English, Persian