This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Amazon Technologies, 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: Deepti Laxman Ragha: Innovator in Machine Learning Routing
Introduction
Deepti Laxman Ragha is a prominent inventor based in Sunnyvale, CA. She has made significant contributions to the field of machine learning, particularly in the area of network routing for heterogeneous models. Her innovative approach has garnered attention in the tech industry.
Latest Patents
Deepti holds a patent titled "Load aware routing for heterogeneous machine learning models access via a common network endpoint." This patent focuses on performing load-aware routing for requests directed to managed network endpoints that invoke specific machine learning models. The process involves evaluating the workloads of different hosts for respective replicas of the machine learning model to select the most suitable host for processing requests. She has 1 patent to her name.
Career Highlights
Deepti is currently employed at Amazon Technologies, Inc., where she continues to push the boundaries of innovation in machine learning. Her work is instrumental in enhancing the efficiency and effectiveness of machine learning applications.
Collaborations
Throughout her career, Deepti has collaborated with notable colleagues, including Rajendra Kumar Vippagunta and Aaron Keller. These collaborations have contributed to her success and the advancement of her projects.
Conclusion
Deepti Laxman Ragha is a trailblazer in the field of machine learning, with her innovative patent showcasing her expertise and dedication. Her contributions are shaping the future of technology and enhancing the capabilities of machine learning systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
