McKinney, TX, United States of America

Sri Baskaran

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sri Baskaran. Retrieved from https://idiyas.com/inventor/sri-baskaran-m78k6gtn

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sri Baskaran: Inventor in Point-of-Sale Machine Learning

Introduction

Sri Baskaran is an inventor based in McKinney, Texas, whose patent work concerns applying machine learning to point-of-sale systems. He is associated with JPMorgan Chase Bank, N.A.

Latest Patents

Baskaran is named on 1 patent: “Systems and Methods for Machine Learning Integration in Point-of-Sale Devices.” The patent describes a method in which a machine-learning engine recognizes text in an image of a transaction receipt, 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 and, after receiving a command to finalize the transaction, updates the associated datastore record with the tip amount.

Career Highlights

The patent reflects work at the intersection of machine learning and payment processing. Its described approach uses receipt-image recognition to help populate transaction details and update transaction records.

Collaborations

Baskaran’s listed coworker is Sabreen Margieh. The available information identifies both as connected to the patent context but does not specify their individual contributions.

Conclusion

Sri Baskaran’s patent focuses on integrating machine-learning-based receipt recognition into point-of-sale transaction finalization, linking extracted receipt details with updates to 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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