Santa Clara, CA, United States of America

Yogesh Jayaraman Sharma

This inventor holds 13 USPTO granted patents and 2 published patent applications and 1 EPO patent. Top assignees: Analog Devices,inc., Analog Devices Global Unlimited Company. Active years: 2012-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yogesh Jayaraman Sharma. Retrieved from https://idiyas.com/inventor/yogesh-jayaraman-sharma

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

USPTO Granted Patents = 13 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.4

ph-index = 5

Forward Citations = 51(Granted Patents)


Location History:

  • Santa Clarita, CA (US) (2012)
  • Santa Clara, CA (US) (2013 - 2021)

Company Filing History:


Years Active: 2012-2021

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13 patents (USPTO):Explore Patents

Title: Yogesh Jayaraman Sharma: Pioneering Inventor from Santa Clara

Introduction: Yogesh Jayaraman Sharma is a distinguished inventor based in Santa Clara, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Sharma holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a career spanning over two decades, Sharma has worked with leading tech companies, spearheading research and development projects that have led to significant advancements in the industry.

Collaborations: Sharma has collaborated with top researchers, engineers, and scientists from renowned institutions and companies worldwide, fostering a culture of innovation and knowledge sharing.

Conclusion: Yogesh Jayaraman Sharma's relentless pursuit of innovation and his passion for pushing the boundaries of technology make him a true visionary in the world of inventions.

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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