San Francisco, CA, United States of America

Japneet Kaur Giglio

This inventor holds 2 USPTO granted patents. Top assignee: Visa International Service Association. Active years: 2019-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Japneet Kaur Giglio. Retrieved from https://idiyas.com/inventor/japneet-kaur-giglio

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Japneet Kaur Giglio: Innovator in Electronic Transactional Data Systems

Introduction

Japneet Kaur Giglio is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of electronic transactional data systems. With a total of 2 patents, her work focuses on utilizing computer learning algorithms to enhance the predictive capabilities of electronic accounts.

Latest Patents

Japneet's latest patents include an innovative electronic transactional data-based predictive system. This system analyzes past electronic records using advanced algorithms to predict future usage of electronic accounts. Her work aims to improve the efficiency and accuracy of electronic transactions.

Career Highlights

Currently, Japneet Kaur Giglio is employed at Visa International Service Association. Her role involves developing cutting-edge technologies that enhance the security and functionality of electronic transactions. Her expertise in predictive systems has positioned her as a leader in her field.

Collaborations

Some of her notable coworkers include Guangyu Wang and Kebin Lu. Together, they work on various projects that aim to advance the technology behind electronic transactions.

Conclusion

Japneet Kaur Giglio's contributions to electronic transactional data systems highlight her innovative spirit and dedication to improving technology. Her work continues to influence the future of electronic transactions and predictive analytics.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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