Alex Teichman
Palo Alto, California,United States
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Alex Teichman is an accomplished entrepreneur and technologist in the fields of artificial intelligence, robotics, and autonomous vehicles. He holds a Ph.D. in Computer Science from Stanford University, where his research focused on 3D perception and machine learning for autonomous robots, particularly in complex, dynamic environments. After his Ph.D., Alex was an early engineer at Google's self-driving car project (which later became Waymo), contributing to its perception systems. He then co-founded Zoox in 2014, an autonomous vehicle company aiming to build purpose-built, fully autonomous robotaxis. As CTO of Zoox, he was instrumental in developing their unique approach to autonomous mobility, leading the company's technological vision and execution until its acquisition by Amazon in 2020. Currently, Alex Teichman is the co-founder and CEO of Llama, an enterprise AI company focused on building a platform for large language model (LLM) powered applications, aiming to help businesses leverage the power of generative AI. He is recognized for his deep technical expertise in AI and robotics, as well as his entrepreneurial success in building and scaling innovative tech companies.
Professional Summary
Alex Teichman's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Co-founder & CEO of Llama
Co-founded and currently leads Llama, an enterprise AI company focused on building a platform for large language model (LLM) powered applications, enabling businesses to integrate advanced AI capabilities.
Co-founder & CTO of Zoox
Co-founded Zoox in 2014 and served as its Chief Technology Officer, spearheading the development of a ground-up, fully autonomous electric vehicle and its AI systems, culminating in its acquisition by Amazon for over $1.2 billion.
Early Engineer at Google's Self-Driving Car Project (Waymo)
Contributed as an early engineer to Google's pioneering self-driving car project (now Waymo), working on critical perception and machine learning challenges for autonomous navigation.
Ph.D. in Computer Science from Stanford University
Earned a doctorate from Stanford University, specializing in AI and Robotics, with research focused on robust perception systems for autonomous vehicles in complex urban environments.
Pioneer in Autonomous Vehicle Technology
Recognized as a leading figure in the development of autonomous vehicle technology, contributing significantly to both foundational research and commercial productization.
Educational Background
Doctor of Philosophy - PhD, Computer Science
Stanford University
Electrical Engineering
University of Pennsylvania - Year 2003
Eastern Regional High School - Year 1999
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Company Overview
HappenstanceHappenstance is an innovative technology firm focused on developing serendipity-driven discovery platforms. Our AI-powered solutions help users uncover new interests, opportunities, and connections by intelligently curating and recommending content and experiences based on subtle behavioral cues and emerging trends. We aim to make the digital world more exciting and less predictable.
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