This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Intuit, Inc.. Active years: 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: 2026
Title: Innovations by Jineet Hiren Doshi
Introduction
Jineet Hiren Doshi is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of machine learning and natural language processing. With a total of 2 patents, his work focuses on enhancing user support through innovative technologies.
Latest Patents
One of Jineet's latest patents is titled "Ensemble of language models for improved user support." This patent outlines a method for providing user support by generating recommended responses for customers using an ensemble of machine learning models. The method involves processing customer input with various models to identify topics, sentiments, and actionability scores, ultimately leading to improved customer interactions.
Another notable patent is "Hierarchical and extensible language model inference." This invention describes a process where a processor determines different model classes within a machine learning hierarchy. It prepares a dictionary containing necessary artifacts for natural language processing tasks, allowing for efficient text processing using machine learning models.
Career Highlights
Jineet currently works at Intuit, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work has been instrumental in advancing the capabilities of user support systems, making them more responsive and effective.
Collaborations
Jineet collaborates with talented individuals in his field, including his coworker Maya Vered Livshits. Together, they contribute to the development of cutting-edge technologies that enhance user experiences.
Conclusion
Jineet Hiren Doshi's contributions to machine learning and natural language processing are noteworthy. His patents reflect a commitment to improving user support through innovative methods and technologies. His work continues to influence the industry positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile