Kiarash Shaloudegi is a Senior Applied Scientist based in Seattle with nine years of experience bridging statistical machine learning and deep learning research into industry impact. He holds a PhD in Intelligent Systems from Imperial College London and has published at top venues (NeurIPS, AISTATS), bringing rigorous probabilistic modeling and generative-model expertise to production problems. After research roles at D-Wave and Huawei Noah's Ark Lab, he now applies that depth at Amazon, focusing on scalable, real-world ML solutions. Known for developing efficient generative models and novel RBM-based architectures during internships and research positions, he combines academic rigor with hands-on engineering to drive measurable product improvements.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Intelligent Systems, Doctor of Philosophy (PhD), Intelligent Systems at Imperial College London
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Kiarash Shaloudegi - Senior Applied Scientist at Amazon