Cupertino, CA, United States of America

Alpeshkumar Manubhai Vaghasia

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alpeshkumar Manubhai Vaghasia. Retrieved from https://idiyas.com/inventor/alpeshkumar-manubhai-vaghasia

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 = 4.4

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Alpeshkumar Manubhai Vaghasia

Introduction

Alpeshkumar Manubhai Vaghasia is a notable inventor based in Cupertino, CA. He has made significant contributions to the field of technology, particularly in enhancing the efficiency of retail transactions through innovative systems.

Latest Patents

Vaghasia holds a patent for "Increasing accuracy of RFID-tag transactions." This patent describes systems that enable a just-walk-out (JWO) facility, allowing users to enter a store, select items, and exit without manual checkout. The system utilizes RFID tags attached to each item, along with an exit system equipped with RFID readers. This technology ensures that items are accurately associated with the user's account and payment method.

Career Highlights

Alpeshkumar Vaghasia is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge solutions that streamline the shopping experience. His work focuses on integrating advanced technologies into everyday retail operations.

Collaborations

Vaghasia has collaborated with talented individuals such as Robert Jerome Colwill and Aaron M McDaniel, contributing to the innovative projects at Amazon Technologies.

Conclusion

Alpeshkumar Manubhai Vaghasia's work exemplifies the spirit of innovation in technology, particularly in enhancing retail experiences through RFID technology. His contributions are paving the way for a more efficient shopping future.

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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