Sabreen Margieh

Title: Sabreen Margieh and Machine Learning in Point-of-Sale Devices

Introduction

Sabreen Margieh is an inventor based in Spring Hill, Florida. His patent work concerns applying machine learning to point-of-sale systems, particularly the processing and finalization of transactions using information extracted from receipt images. The supplied information lists JPMorgan Chase Bank, N.A. as his company and reports 1 patent.

Latest Patents

Margieh’s listed patent is “Systems and Methods for Machine Learning Integration in Point-of-Sale Devices.” The described method uses a machine learning engine to recognize text in a digital image of a transaction receipt, including the transaction identifier, transaction amount, and tip amount. A point-of-sale device then populates a transaction-finalizing form with the transaction and tip amounts. After receiving a command to finalize the transaction, the device initiates an update to the associated datastore record, adding the tip amount.

Career Highlights

The patent reflects work at the intersection of machine learning, receipt-image processing, and payment technology. By connecting recognized receipt information with a point-of-sale device’s transaction workflow, the described system aims to support the accurate recording of tips during transaction finalization. The supplied information identifies JPMorgan Chase Bank, N.A. as Margieh’s company.

Collaborations

The supplied information names Justin Robinson and Bucci Douglas as Margieh’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Sabreen Margieh’s listed invention applies machine learning to receipt processing and point-of-sale transaction updates, linking recognized tip information with the corresponding transaction record.