Andrej Karpathy
San Francisco Bay Area,United States
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Andrej Karpathy is a highly respected and influential computer scientist and researcher specializing in deep learning, computer vision, and natural language processing. He is widely recognized for his pivotal role as Director of AI at Tesla, where he led the computer vision team for Autopilot, and for his significant contributions as a research scientist at OpenAI on multiple occasions. Karpathy is also esteemed for his educational efforts, notably co-creating and teaching Stanford's seminal CS231n course on Convolutional Neural Networks, and for making complex AI concepts accessible through his blogs, talks, and popular YouTube videos. His work has significantly impacted the development and understanding of AI technologies.
Professional Summary
Andrej Karpathy's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Director of AI at Tesla
Led the computer vision team for Tesla Autopilot from 2017 to 2022, overseeing the development of AI systems for self-driving capabilities, including data collection, neural network training, and deployment.
Founding Research Scientist at OpenAI
Was an early and influential research scientist at OpenAI, contributing to foundational research in deep learning, generative models, and reinforcement learning. He later rejoined OpenAI in 2023 before departing again in early 2024.
Co-creator of Stanford's CS231n Course
Co-developed and taught CS231n: Convolutional Neural Networks for Visual Recognition at Stanford University, a highly influential course that has educated thousands of students and professionals in deep learning.
Influential AI Educator and Communicator
Known for his ability to explain complex AI concepts clearly through his blog posts, lectures, and widely followed YouTube channel (e.g., 'Neural Networks: Zero to Hero' series), making AI more accessible to a broader audience.
Significant Contributions to Deep Learning Research
Authored and co-authored numerous impactful research papers in areas like image captioning (e.g., 'Deep Visual-Semantic Alignments for Generating Image Descriptions'), recurrent neural networks, and reinforcement learning.
Educational Background
Master in Management
HEC Paris - Year 1991
MBA
University of Michigan - Year 1994
French Baccalaureate
Collège des Frères Mont La Salle - Year 1989
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Company Overview
TuroTuro is a leading peer-to-peer car sharing marketplace where guests can book any car they want, wherever they want it, from a vibrant community of local hosts across the US, Canada, the UK, France, and Australia. Guests choose from a unique selection of nearby cars, while hosts earn extra money to offset the costs of car ownership. Turo aims to put the world’s 1.5 billion cars to better use, offering a more personal, convenient, and diverse alternative to traditional car rental services.
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