Malay Hazarika is a distinguished AI researcher and engineer specializing in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). He earned his PhD in Computer Science from Stanford University, where his research focused on efficient and adaptable NLP models. Malay has a strong track record of contributing to cutting-edge AI advancements, having worked as an AI/ML Research Scientist at Apple. Currently, he is a Founding Machine Learning Engineer at Predibase, working on making declarative machine learning and LLMOps accessible, and also contributes as a Research Scientist at Hugging Face, focusing on open-source AI research and democratizing state-of-the-art models.
Malay Hazarika's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Completed doctoral research at Stanford University, focusing on efficient methods for training and adapting large pre-trained language models for various NLP tasks.
Plays a key role in developing Predibase's platform for declarative machine learning and LLM operations, aiming to simplify the deployment and management of custom AI models.
Contributes to the advancement of open-source AI, particularly in the realm of large language models, tools, and ethical AI development within the Hugging Face ecosystem.
Worked on developing and implementing advanced machine learning models and AI-driven features for Apple products and services.
Authored and co-authored research papers presented at prestigious AI/NLP conferences such as ACL, EMNLP, and NeurIPS, contributing to the broader scientific community.
Dibrugarh University - Year 2015
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