Naman Goyal is a distinguished Machine Learning Engineer and Researcher specializing in Large Language Models (LLMs), Computer Vision, Deep Learning, and Multimodal Learning. With a proven track record at leading technology companies including Google DeepMind, NVIDIA, Apple, and several startups, Naman consistently drives advancements in AI applications.

At Google DeepMind, Naman plays a key role in developing Deep Research, an AI-powered research assistant within Google Gemini, focusing on enhancing reasoning capabilities and optimizing ML workflows for millions of users.

Previously at NVIDIA, he optimized machine learning for autonomous vehicles, improving training cycles and model accuracy in constrained environments. At Vimaan Robotics, he engineered computer vision algorithms achieving 99.8% inventory accuracy in large-scale warehouses. At HyperVerge Technologies, he built facial recognition systems that secured billions of identities while reducing processing times from hours to minutes.

Naman holds an M.S. in Computer Science from Columbia University, where he focused on Multi-Modal Learning and NLP, and graduated top of his class with a B.Tech. from IIT. He is a recipient of the National Talent Search Examination Scholarship and Kishore Vaigyanik Protsahan Yojana Fellowship.

He has published on topics including on-device NLP, graph neural networks, and self-supervised multimodal learning. His work spans AI agents, autonomous systems, inventory management, and identity verification, with a focus on developing explainable and responsible AI.