Summary
Ramtin Moslemi is a research-focused machine learning engineer with five years of experience specializing in reinforcement learning, trustworthy AI, geometric deep learning, and generative models. Based at Sharif University of Technology and the Robust and Interpretable Machine Learning Lab, he works on adversarial robustness, generalization of robust learners, and music generation projects. He combines strong theoretical grounding with hands-on research and extensive teaching experience across graduate and undergraduate courses in RL, generative models, security/privacy, and advanced 3D vision. Ramtin’s profile reflects a blend of academic rigor and creative application—applying principled ML methods to both robustness and creative generation tasks.
5 years of coding experience
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Sharif University of Technology
English, Spanish, Persian