This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations by Ravi Khandelwal
Introduction
Ravi Khandelwal is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of offline evaluation of models. His innovative approach has garnered attention in the tech industry.
Latest Patents
Ravi holds a patent for "Offline evaluation of machine learning models with noise reduction." This patent discloses methods, systems, and computer-readable media for evaluating machine learning models offline while reducing noise. The invention involves a trigger computation system that generates a variety of experimental requests, which differ from unmodified requests typically received in a production environment. The system evaluates the performance of two machine learning models based on these experimental requests, ultimately determining a reduced set of results where the models differ. This evaluation process enhances the reliability of machine learning models.
Career Highlights
Ravi Khandelwal is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and data analysis. His work focuses on improving the efficiency and accuracy of machine learning models, contributing to the advancement of technology in various applications.
Collaborations
Ravi has collaborated with notable colleagues, including Juan Carlos Hernandez Munuera and Rizwana Rizia. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.
Conclusion
Ravi Khandelwal's contributions to machine learning and his innovative patent demonstrate his commitment to advancing technology. His work at Amazon Technologies, Inc. continues to influence the field, showcasing the importance of innovation in today's digital landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
