Seattle, WA, United States of America

Ragheb Rahmaniani

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ragheb Rahmaniani. Retrieved from https://idiyas.com/inventor/ragheb-rahmaniani

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 = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ragheb Rahmaniani: Innovator in Anomaly Detection Technology

Introduction

Ragheb Rahmaniani is a notable inventor based in Seattle, WA. He has made significant contributions to the field of technology, particularly in the area of anomaly detection. His innovative work has the potential to enhance the efficiency and reliability of payment services.

Latest Patents

Ragheb holds a patent for "Low latency anomaly detection and related mitigation action." This invention focuses on detecting anomalies in payment processes and executing related mitigation actions. The technology involves a computing device that receives data from a payment service, generates aggregated metrics, and utilizes a machine learning engine to identify anomalies. Based on these anomalies, the device can indicate potential outages and initiate mitigation actions to support transactions for users.

Career Highlights

Ragheb is currently employed at Amazon Technologies, Inc., where he applies his expertise in developing advanced technological solutions. His work at Amazon has allowed him to be at the forefront of innovation in the tech industry.

Collaborations

Ragheb has collaborated with talented individuals such as Kalpit Deewan and Subhas Chandra Dey. These collaborations have contributed to the development of cutting-edge technologies and solutions in their respective fields.

Conclusion

Ragheb Rahmaniani is a distinguished inventor whose work in anomaly detection technology is paving the way for improved payment services. His contributions are significant in enhancing the reliability and efficiency of transaction processes.

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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