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Developer, Northeastern Univeristy
Deep Learning and optimization of Large models
Rakesh Esh is a developer affiliated with Northeastern University, working on deep learning and the optimization of large models. His GitHub profile describes him as a senior machine learning engineer and researcher with a master's degree in applied mathematics. Rakesh has published 19 public repositories, including nanoGPT, nanoDiffusion and LLMBank, and a Hugging Face Space called Quantization.
