Noida, India

Varun Sharma

This inventor holds 5 USPTO granted patents. Top assignees: Adobe, Inc., Amazon Technologies, Inc., International Business Machines Corporation. Active years: 2013-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Varun Sharma. Retrieved from https://idiyas.com/inventor/varun-sharma-0sp1pl9d

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


% Patents Active = 80.0

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 11(Granted Patents)


Location History:

  • New Delhi, IN (2013 - 2021)
  • Noida, IN (2014 - 2024)

Company Filing History:


Years Active: 2013-2024

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5 patents (USPTO):Explore Patents

Title: Inventor Varun Sharma: Revolutionizing Technology in Noida

Introduction: Varun Sharma is a visionary inventor based in Noida, India, known for his groundbreaking contributions to the field of technology.

Latest Patents: Varun Sharma holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies, showcasing his innovative mindset and forward-thinking approach.

Career Highlights: With a background in computer science and engineering, Varun Sharma has worked with leading tech companies in India, honing his skills and expertise in developing cutting-edge solutions for complex technological challenges.

Collaborations: Varun Sharma has collaborated with research institutions and universities in Noida to further his research and bring his inventions to life, demonstrating his commitment to pushing the boundaries of technological innovation.

Conclusion: Varun Sharma's passion for innovation and his relentless pursuit of technological advancement make him a prominent figure in the inventor community, with his work poised to shape the future of technology in Noida and beyond.

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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