This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Paypal, Inc.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Angadhjot Hundal: Innovator in Dynamic Recommendation Systems
Introduction
Angadhjot Hundal is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of technology, particularly in the area of dynamic recommendation systems. His innovative approach utilizes reinforcement learning to enhance user experience through personalized content recommendations.
Latest Patents
Angadhjot 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 system aims to improve the accuracy and relevance of content recommendations.
Career Highlights
Angadhjot is currently employed at PayPal, Inc., where he applies his expertise in machine learning and data analysis. His work focuses on developing advanced algorithms that enhance the functionality of digital payment systems. With a strong background in technology and innovation, he continues to push the boundaries of what is possible in the field.
Collaborations
Throughout his career, Angadhjot has collaborated with talented individuals such as Yiwei Li and Alessandro Festante. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Angadhjot Hundal is a visionary inventor whose work in dynamic recommendation systems exemplifies the potential of technology to improve user experiences. His contributions to the field are paving the way for future innovations in personalized content delivery.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
