San Francisco, CA, United States of America

Ryan Ragona

This inventor holds 1 USPTO granted patent. Top assignee: Openai Opco, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ryan Ragona. Retrieved from https://idiyas.com/inventor/ryan-ragona-qlcxq69j

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ryan Ragona: Innovator in Generative Artificial Intelligence

Introduction

Ryan Ragona is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of artificial intelligence, particularly in generative systems. His work is characterized by a focus on innovative solutions that enhance the capabilities of AI technologies.

Latest Patents

Ryan holds a patent titled "Private Inference for Generative Artificial Intelligence Systems." This patent reflects his commitment to advancing the field of AI while addressing privacy concerns associated with generative models. He has 1 patent to his name, showcasing his innovative approach to technology.

Career Highlights

Ryan is currently employed at OpenAI Opco, LLC, where he continues to push the boundaries of what is possible in artificial intelligence. His role at OpenAI allows him to collaborate with some of the brightest minds in the industry, contributing to groundbreaking projects that have the potential to reshape the future of technology.

Collaborations

Ryan has worked alongside talented colleagues such as Matthew Allen and Jennifer Malia Andrus. Their collaborative efforts have fostered an environment of creativity and innovation, leading to advancements in AI research and development.

Conclusion

In summary, Ryan Ragona is a prominent figure in the realm of generative artificial intelligence. His patent and work at OpenAI highlight his dedication to innovation and the advancement of technology. His contributions are paving the way for future developments in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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