This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Paypal, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Sridevi Nelluri: Innovator in Dynamic Recommendation Systems
Introduction
Sridevi Nelluri is a prominent inventor based in Fremont, California. She has made significant contributions to the field of technology, particularly in the area of dynamic recommendation systems. Her innovative work focuses on utilizing reinforcement learning to enhance content prediction models.
Latest Patents
Sridevi Nelluri holds a patent for a "Dynamic recommendation system using reinforcement learning for continual learning." This patent describes a system and methods for predicting content items using a neural network model. The process involves obtaining a first dataset of user actions from multiple users across various devices and a second dataset of historical data. The invention extracts embeddings from both datasets, outputs a trained model, and determines candidate content items based on prediction values. This innovative approach allows for continual learning and improved accuracy in content recommendations.
Career Highlights
Sridevi is currently employed at PayPal, Inc., where she applies her expertise in machine learning and data analysis. Her work at PayPal has positioned her as a key player in developing advanced technological solutions that enhance user experience and engagement.
Collaborations
Throughout her career, Sridevi has collaborated with talented individuals such as Yiwei Li and Alessandro Festante. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Sridevi Nelluri's contributions to dynamic recommendation systems exemplify her commitment to advancing technology through innovative solutions. Her work not only enhances user experiences but also sets a foundation for future developments in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
