This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Harshita Dubey: Innovator in Machine Learning and Computing Solutions
Introduction
Harshita Dubey is a prominent inventor based in Round Rock, TX (US). She has made significant contributions to the field of machine learning, particularly in predicting usage profiles and recommendations for computing devices. Her innovative approach has the potential to enhance user experience and optimize device performance.
Latest Patents
Harshita holds a patent for her invention titled "Using machine learning to predict a usage profile and recommendations associated with a computing device." This patent outlines a system where a server receives usage data from a computing device to determine its usage profile. The system can predict component failures and recommend warranty upgrades or component enhancements based on the predicted failure time. This invention aims to provide users with valuable insights and cost-benefit analyses for maintaining their devices.
Career Highlights
Harshita is currently employed at Dell Products Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work focuses on improving the reliability and efficiency of computing devices, making her a valuable asset to the company.
Collaborations
Harshita collaborates with talented colleagues, including Stephen Ray Young and Gautam Kaura. Their combined efforts contribute to the advancement of technology and the development of cutting-edge solutions in the computing industry.
Conclusion
Harshita Dubey is a trailblazer in the field of machine learning and computing solutions. Her innovative patent and contributions to Dell Products Inc. highlight her commitment to enhancing technology for users. Her work continues to inspire advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
