Karnataka, India

Krishna Kant Chintalapudi

This inventor holds 4 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2014-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krishna Kant Chintalapudi. Retrieved from https://idiyas.com/inventor/krishna-kant-chintalapudi

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Malleswaram, IN (2014)
  • Bagalore, IN (2017)
  • Karnataka, IN (2018)
  • Redmond, WA (US) (2021)

Company Filing History:


Years Active: 2014-2021

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4 patents (USPTO):Explore Patents

Title: Inventor Krishna Kant Chintalapudi

Introduction: Krishna Kant Chintalapudi is a renowned inventor hailing from Karnataka, India, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Krishna Kant Chintalapudi holds several patents in the areas of artificial intelligence, machine learning, and Internet of Things (IoT), showcasing his expertise in cutting-edge technologies.

Career Highlights: With a career spanning over two decades, Chintalapudi has worked with leading tech companies, research institutions, and universities, where he has spearheaded numerous projects that have revolutionized the industry.

Collaborations: Throughout his career, Krishna Kant Chintalapudi has collaborated with top inventors, patent attorneys, and companies worldwide, fostering a culture of innovation and knowledge sharing in the tech community.

Conclusion: In conclusion, Krishna Kant Chintalapudi's passion for innovation and his relentless pursuit of technological advancement have solidified his reputation as a visionary inventor in the global tech landscape.

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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