Summary
Deep Pandey is an applied scientist with nine years of experience combining deep learning research and product-focused ML, currently joining Amazon to build recommendation systems for Fire TV. A sixth-year PhD from Rochester Institute of Technology, his dissertation on uncertainty-aware meta-learning targets trustworthy few-shot learning and has led to first-author publications at NeurIPS, ICML, CVPR, and AAAI. He has a track record of translating research into impact—internships at Amazon and InterDigital improved recommendation coverage and image restoration quality, respectively, and contributed to a patent filing. Comfortable spanning novel probabilistic modeling, meta-learning, and production recommendation pipelines, he focuses on models that quantify uncertainty to enable safer real-world deployment.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computing and Information Sciences, Doctor of Philosophy - PhD Computing and Information Sciences at Rochester Institute of Technology
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Pulchowk Campus