San Jose, CA, United States of America

Gurinder Grewal


Average Co-Inventor Count = 7.6

ph-index = 1


Company Filing History:


Years Active: 2021-2024

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3 patents (USPTO):Explore Patents

Title: Innovations by Gurinder Grewal

Introduction

Gurinder Grewal is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of technology, particularly in the realm of data optimization and machine learning. With a total of three patents to his name, Grewal's work focuses on enhancing the efficiency of computer-based rule engines.

Latest Patents

Grewal's latest patents include "Self Learning Data Loading Optimization for a Rule Engine" and "Automatic Discovery of Data Required by a Rule Engine." The first patent presents methods and systems that utilize machine learning to automatically determine a data loading configuration for a computer-based rule engine. This innovation allows the rule engine to evaluate incoming transaction requests more effectively by pre-loading and lazy-loading data based on statistical data such as use rates and loading times. The second patent outlines methods for automatically discovering the data types required by a rule engine to evaluate transaction requests. By generating an abstract syntax tree, the system identifies irrelevant potential paths and retrieves only the necessary data for evaluation.

Career Highlights

Gurinder Grewal is currently employed at PayPal, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on the efficiency of transaction processing and data management within the company.

Collaborations

Grewal has collaborated with notable colleagues such as Srinivasan Manoharan and Vinesh Chirakkil, contributing to a dynamic and innovative work environment.

Conclusion

Gurinder Grewal's contributions to technology through his patents and work at PayPal, Inc. highlight his role as a leading inventor in the field of data optimization and machine learning. His innovations continue to shape the future of computer-based rule engines and transaction processing.

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