This inventor holds 5 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2026
Title: Innovations by Paul Fletcher
Introduction
Paul Fletcher is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of technology, particularly in user profile management and social networking. With two patents to his name, Fletcher's work reflects a deep understanding of user interaction and data privacy.
Latest Patents
Fletcher's latest patents include "Subprofiles for intent on page" and "Machine learned models for contextual editing of social networking profiles." The first patent discloses systems, methods, and non-transitory computer-readable media for independently configurable sub-profiles that can express intent within a user profile. This innovation allows users to manage visibility settings for different portions of their profile, enabling them to share specific data with selected audiences. The second patent focuses on machine learning models that assist in identifying missing fields in social networking profiles. By analyzing the importance of profile fields and the user's propensity to edit them, this technology enhances user engagement and profile completeness.
Career Highlights
Paul Fletcher is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work at Microsoft has positioned him as a key player in the advancement of user profile management systems.
Collaborations
Fletcher collaborates with talented individuals such as Karan Ashok Ahuja and Befekadu Ayenew Ejigou, contributing to a dynamic and innovative work environment.
Conclusion
Paul Fletcher's contributions to technology through his patents and work at Microsoft highlight his expertise in user profile management and machine learning. His innovations are paving the way for more personalized and secure user experiences in social networking.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
