Hyderabad Telangana, India

Rahul Gupta

This inventor holds 53 USPTO granted patents and 10 published patent applications, primarily in Natural Language Processing. Top assignees: Microsoft Technology Licensing, LLC, Amazon Technologies, Inc., Atlassian Corporation Pty Ltd.. Active years: 2007-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rahul Gupta. Retrieved from https://idiyas.com/inventor/rahul-gupta-btkc7usx

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

USPTO Granted Patents = 53 

% Patents Active = 90.6

Average Co-Inventor Count = 2.5

ph-index = 10

Forward Citations = 465(Granted Patents)

Forward Citations (Not Self Cited) = 425(Dec 10, 2025)


Location History:

  • Bellevue, WA (US) (2007 - 2012)
  • Los Angeles, CA (US) (2019)
  • Saharanpur, IN (2020 - 2022)
  • Cambridge, MA (US) (2021 - 2022)
  • Bothell, WA (US) (2012 - 2023)
  • Telangana, IN (2019 - 2023)
  • Seattle, WA (US) (2023)
  • Hyderabad, IN (2019 - 2024)
  • Waltham, MA (US) (2022 - 2024)

Company Filing History:


Years Active: 2007-2026

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Areas of Expertise:
Natural Language Processing
User Interface Design
Adaptive Systems
Contextual Document Recall
Speech-to-Text Models
User Data Processing
Task Management
Personal Digital Assistants
Collision Prediction
Portable Ultrasound Imaging
Change Management Framework
Personalization Framework
53 patents (USPTO):Explore Patents

Title: Innovations and Impact of Rahul Gupta in Hyderabad, Telangana

Introduction

Rahul Gupta, based in Hyderabad, Telangana, is a distinguished inventor recognized for his substantial contributions to technology with a staggering 44 patents to his name. His work primarily focuses on enhancing user interaction with technology, particularly in the realm of personal digital assistants.

Latest Patents

Among Rahul's latest inventions is a unique architecture that facilitates the sharing of personalized entities among users of personal digital assistants. This innovative system allows users to designate their acceptance of receiving social cards from others, thereby fostering a more interconnected social network experience. A critical component of this architecture is a mapping system that manages user participation in card sharing while maintaining individual acceptance levels. Users are empowered to create local groups dynamically, enabling multiple concurrent sharing of personalized content. This advanced mechanism incorporates features like user engagement history ranking, conflation, push notifications, and filtering, ensuring a highly personalized user experience.

Another key patent related to model configuration introduces techniques for optimizing parameters in machine learning models. This process involves testing different parameter values to ascertain which combination enhances model performance. The method includes utilizing search algorithms to analyze performance outcomes until predefined stopping criteria are met, making it applicable to natural language processing models as well.

Career Highlights

Rahul's illustrious career spans significant positions in major technology companies, including Microsoft Technology Licensing, LLC and Amazon Technologies, Inc. His experiences in these innovative environments have greatly influenced his creative contributions and patent developments.

Collaborations

Throughout his career, Rahul has collaborated with talented professionals such as Bhavesh Sharma and Pradeep Kumar Reddy K. Their joint efforts have undoubtedly enriched the advancements in their respective fields, fostering an environment of creativity and technological evolution.

Conclusion

In conclusion, Rahul Gupta is a visionary inventor whose 44 patents underscore his expertise and commitment to innovation. His work, which includes groundbreaking systems for personal digital assistant users and advanced machine learning model configurations, continues to influence the tech landscape significantly. As he advances his career, Rahul's contributions are sure to pave the way for future innovations 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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