Vaughan, Canada

Peyman Passban

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Peyman Passban. Retrieved from https://idiyas.com/inventor/peyman-passban-si28pgf1

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


% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Peyman Passban: Innovator in Machine Learning Model Updates

Introduction

Peyman Passban is a notable inventor based in Vaughan, Canada. He has made significant contributions to the field of machine learning, particularly in the area of updating machine learning models. His innovative approach has the potential to enhance the efficiency of model updates across devices.

Latest Patents

Peyman Passban holds a patent for a system that facilitates the sharing of updates to a machine learning model between devices. The patent describes a method where a first device updates the parameters of a model based on input data processing. This device generates model update data and sends it to a second device, which may aggregate updates from multiple sources. The collaboration between devices allows for improved model accuracy while optimizing communication costs.

Career Highlights

Peyman is currently employed at Amazon Technologies, Inc., where he continues to work on advancing machine learning technologies. His expertise in this domain has positioned him as a valuable asset to his team and the company.

Collaborations

Peyman collaborates with talented individuals such as Clement Chung and Gazelle Tanya Roostaeyan. Their combined efforts contribute to the innovative projects at Amazon Technologies, Inc.

Conclusion

Peyman Passban's work in machine learning model updates exemplifies the impact of innovation in technology. His contributions are paving the way for more efficient systems in the field.

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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