About me
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 innovative startups, Naman consistently drives advancements in artificial intelligence applications.
At Google DeepMind, Naman plays an instrumental role in developing Deep Research, an AI-powered research assistant integrated within Google Gemini. His contributions focus on enhancing Gemini's reasoning capabilities and optimizing machine learning workflows that serve millions of users globally.
Previously at NVIDIA, Naman optimized machine learning processes for autonomous vehicle development, addressing complex challenges in deploying deep learning models in resource-constrained environments. His work accelerated training cycles and improved the accuracy of self-driving car technology.
During his tenure at Vimaan Robotics, Naman designed computer vision algorithms for AI-powered inventory management solutions, achieving 99.8% inventory accuracy for large-scale warehouses. At HyperVerge Technologies, he developed identity verification systems utilizing facial recognition to protect billions of identities while dramatically reducing processing time from hours to minutes.
Naman holds an M.S. in Computer Science from Columbia University, where his thesis focused on Multi-Modal Learning and NLP. He graduated at the top of his class with a B.Tech. in Computer Science from the Indian Institute of Technology, IIT.
A recipient of prestigious recognitions including the National Talent Search Examination Scholarship and Kishore Vaigyanik Protsahan Yojana Fellowship, Naman has published research papers on on-device NLP applications, graph neural networks, and self-supervised learning approaches for multimodal representation learning.
Naman combines technical excellence with an innovative mindset, consistently delivering high-impact solutions across diverse domains including AI agents, autonomous vehicles, inventory management, identity verification, and AI-powered research assistance. His expertise in developing explainable and responsible AI models emphasizes his commitment to ethical advancement in artificial intelligence.
