Tampa, FL, United States of America

Amar Nath Jha

This inventor holds 1 USPTO granted patent. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amar Nath Jha. Retrieved from https://idiyas.com/inventor/amar-nath-jha

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Amar Nath Jha: Inventor in Point-of-Sale Machine Learning

Introduction

Amar Nath Jha is an inventor based in Tampa, Florida, and is associated with JPMorgan Chase Bank, N.A. His patent work concerns applying machine learning to point-of-sale devices, particularly the processing of transaction receipts.

Latest Patents

Jha is named on 1 patent: “Systems and Methods for Machine Learning Integration in Point-of-Sale Devices.” The invention describes a system that receives an image of a transaction receipt and uses a machine learning engine to recognize key details, including the transaction identifier, transaction amount, and tip amount. A point-of-sale device then uses the recognized amounts to populate a transaction-finalizing form. After receiving a command to finalize the transaction, the device updates the associated datastore record with the tip amount.

Career Highlights

Jha’s listed patent connects machine learning with point-of-sale transaction workflows. The approach is designed to extract receipt information from an image and use it to support transaction finalization and record updates. His company affiliation is JPMorgan Chase Bank, N.A.

Collaborations

Jha’s listed coworkers include Rasanjaya Herath Mudiyanselage and Harmeet Singh. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Amar Nath Jha’s patent focuses on integrating machine learning into point-of-sale devices to recognize receipt details and update transaction records.

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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