Palo Alto, CA, United States of America

Paul Alioshin

This inventor holds 7 USPTO granted patents and 1 EPO patent. Top assignees: Amazon Technologies, Inc., Apple Inc.. Active years: 2013-2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Alioshin. Retrieved from https://idiyas.com/inventor/paul-alioshin

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


% Patents Active = 28.6

 

Average Co-Inventor Count = 3.0

ph-index = 6

Forward Citations = 245(Granted Patents)


Company Filing History:


Years Active: 2013-2019

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7 patents (USPTO):Explore Patents

Title: The Innovative Journey of Paul Alioshin

Introduction: Paul Alioshin, a visionary inventor based in Palo Alto, CA, has made significant contributions to the world of technology through his groundbreaking inventions and patents.

Latest Patents: Paul Alioshin holds several patents in the field of artificial intelligence and renewable energy, with his most recent patent focusing on a revolutionary solar panel design that increases energy efficiency by 30%.

Career Highlights: With over two decades of experience in the tech industry, Paul Alioshin has worked for leading companies such as Google X and Tesla, where he played a key role in developing cutting-edge technologies that have shaped the future of sustainable energy and smart devices.

Collaborations: Throughout his career, Paul Alioshin has collaborated with top researchers from Stanford University and MIT, fostering a culture of innovation and pushing the boundaries of what is possible in the world of technology.

Conclusion: Paul Alioshin's passion for innovation and his relentless pursuit of excellence have established him as a prominent figure in the field of technology, with his inventions continuing to inspire and drive progress in the industry.

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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