Redmond, WA, United States of America

Yi Shan

This inventor holds 2 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2023-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi Shan. Retrieved from https://idiyas.com/inventor/yi-shan-rye3484w

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 6.9

ph-index = 1


Location History:

  • Redmond, WA (US) (2023)
  • Bellevue, WA (US) (2024)

Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Inventor Yi Shan: Revolutionizing Technology in Redmond

Introduction: Yi Shan is a visionary inventor based in Redmond, WA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Yi Shan holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Yi Shan has worked with leading tech companies in the region, spearheading research and development projects that have led to significant technological breakthroughs.

Collaborations: Throughout his career, Yi Shan has collaborated with top researchers, engineers, and scientists, fostering a culture of innovation and creativity that has resulted in numerous successful projects and inventions.

Conclusion: Yi Shan's relentless pursuit of innovation and his passion for technology have solidified his reputation as a pioneering inventor in Redmond, WA, inspiring the next generation of innovators to push the limits of what is possible in the world of technology.

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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