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Philipp Moritz is a distinguished technologist and entrepreneur, widely recognized as a co-creator of the open-source distributed computing framework, Ray. As the co-founder and CTO of Anyscale, the company commercializing Ray, he focuses on making large-scale AI and Python workloads accessible to developers and organizations of all sizes. He earned his Ph.D. from the University of California, Berkeley, at the RISELab, where his research centered on the intersection of machine learning, cloud computing, and distributed systems. Philipp is a key contributor to the AI ecosystem, having played a pivotal role in developing popular libraries like Ray Tune for hyperparameter optimization and RLlib for reinforcement learning.
Philipp Moritz's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-created Ray, a leading open-source unified compute framework that makes it simple to scale AI and Python workloads. Ray has become an industry standard for distributed computing, adopted by companies like Uber, Amazon, and Microsoft.
Co-founded Anyscale, the company commercializing Ray, to empower developers to build and run scalable AI applications without deep systems expertise. Anyscale is a key player in the MLOps and distributed computing landscape.
Led and contributed significantly to the development of core Ray libraries like RLlib (for reinforcement learning) and Ray Tune (for hyperparameter tuning), which are widely used in the machine learning community.
University of California, Berkeley - Year 2013
University of Cambridge - Year 2012
The Julius Maximilians University of Würzburg - Year 2009
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Anyscale is the company behind the popular open-source distributed computing framework, Ray. From a user's perspective, Anyscale provides a fully-managed platform that makes it simple to build, deploy, and scale artificial intelligence and Python applications. It allows developers and data scientists to run complex computations and machine learning workloads on the cloud without worrying about the underlying infrastructure, effectively transforming their laptop into an infinitely scalable computer. This helps companies accelerate the development and production of AI-powered products and services.
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