Andrej Karpathy
Andrej Karpathy is one of the most influential AI researchers of his generation, best known for his foundational contributions to deep learning, computer vision, and large language model development. His work has had cascading effects across the technology landscape, including AdTech, where AI-driven targeting, creative optimization, and audience modeling increasingly rely on the neural network architectures and training methodologies he helped pioneer. He is currently a Researcher on the Pretraining team at Anthropic, where he contributes to the development of next-generation foundation models. Karpathy co-founded OpenAI and served as a core researcher there in its early years, helping establish the organization's research culture and technical direction. He subsequently joined Tesla as Director of AI, where he led the Autopilot vision team and built one of the most sophisticated real-world computer vision and data engine pipelines in existence. After departing Tesla, he returned briefly to independent work and education — most notably through his widely acclaimed 'Neural Networks: Zero to Hero' YouTube series — before joining Anthropic in 2026 to focus on pretraining research. Though Karpathy's career is rooted in foundational AI research, his influence on the industry is profound and growing. The large language models and vision systems advanced through his work are now central to programmatic advertising, AI-generated creative, brand safety classification, and real-time bidding optimization. His move to Anthropic's pretraining team signals continued impact on the frontier models that will shape the next generation of AI-powered marketing and advertising infrastructure.
Last updated Oct 14, 2026 by the ATDb Editorial Team
AI-drafted from public sources7 sources cited
- Years in industry
- 15 years
Bio
Andrej Karpathy is one of the most influential AI researchers of his generation, best known for his foundational contributions to deep learning, computer vision, and large language model development. His work has had cascading effects across the technology landscape, including AdTech, where AI-driven targeting, creative optimization, and audience modeling increasingly rely on the neural network architectures and training methodologies he helped pioneer. He is currently a Researcher on the Pretraining team at Anthropic, where he contributes to the development of next-generation foundation models. Karpathy co-founded OpenAI and served as a core researcher there in its early years, helping establish the organization's research culture and technical direction. He subsequently joined Tesla as Director of AI, where he led the Autopilot vision team and built one of the most sophisticated real-world computer vision and data engine pipelines in existence. After departing Tesla, he returned briefly to independent work and education — most notably through his widely acclaimed 'Neural Networks: Zero to Hero' YouTube series — before joining Anthropic in 2026 to focus on pretraining research. Though Karpathy's career is rooted in foundational AI research, his influence on the industry is profound and growing. The large language models and vision systems advanced through his work are now central to programmatic advertising, AI-generated creative, brand safety classification, and real-time bidding optimization. His move to Anthropic's pretraining team signals continued impact on the frontier models that will shape the next generation of AI-powered marketing and advertising infrastructure.
Career
Roles with a cited source. All linked roles are in the Roles tab.
Expertise & education
Expertise
Education
- PhD, Computer Science (Deep Learning / Computer Vision), Stanford University
- MSc, Computer Science, University of British Columbia
- BSc, Computer Science & Physics, University of Toronto
Speaking topics
Recognition
Notable achievements
- Co-founded OpenAI, one of the most influential AI research organizations in history
- Built and led Tesla's Autopilot AI vision team, creating one of the world's largest real-world computer vision pipelines
- Created 'Neural Networks: Zero to Hero' YouTube series, amassing millions of views and becoming a canonical AI education resource
- Joined Anthropic's Pretraining team in 2026, contributing to frontier foundation model development
- Developed the widely used CS231n (Convolutional Neural Networks for Visual Recognition) course at Stanford
Awards
Publications
- Karpathy et al., 'Large-Scale Video Classification with Convolutional Neural Networks,' CVPR 2014
- Karpathy & Fei-Fei, 'Deep Visual-Semantic Alignments for Image Captioning,' CVPR 2015
- Karpathy, 'Visualizing and Understanding Recurrent Networks,' ICLR Workshop 2016
- 'Software 2.0' (Medium essay, 2017) — widely cited manifesto on AI-driven software development