Ramtin Moslemi

Research Assistant at Robust and Interpretable Machine Learning Lab

Tehran Province, Iran Other
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Summary

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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.
code5 years of coding experience
bookBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Sharif University of Technology
languagesEnglish, Spanish, Persian
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Stats
13reputation
2kreached
0answers
7questions
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Github Skills (27)

artificial-intelligence10
gnn10
computer-engineering10
machine-learning9
ai9
nlp8
python8
graph8
probability7
youtube7
natural-language-processing7
deep-learning7
graph-convolutional-networks7
localtime6
android-studio6

Programming languages (4)

TeXHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:105 pushes, 1 branch in 1 year 4 months
project-team-54 created by GitHub Classroom
Contributions:7 releases, 26 pushes, 14 branches in 3 months
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Ramtin Moslemi - Research Assistant at Robust and Interpretable Machine Learning Lab