Seattle, WA, United States of America

Salar Jahedi

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Salar Jahedi. Retrieved from https://idiyas.com/inventor/salar-jahedi

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

Calculating rank

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations by Salar Jahedi in Resource Prediction

Introduction

Salar Jahedi is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of resource management through his innovative patent. His work focuses on enhancing the efficiency of resource allocation within organizations.

Latest Patents

Salar Jahedi holds a patent for a "Dynamic Resource Prediction Simulation." This invention describes a system and method that utilizes historical data and user inputs to predict the necessary amount of resources for specific tasks. The system provides visual representations of these predictions, allowing users to simulate various scenarios. This capability enables organizations to effectively reallocate resources or acquire the appropriate amount needed for their operations.

Career Highlights

Salar Jahedi is currently employed at Amazon Technologies, Inc., where he applies his expertise in resource prediction. His innovative approach has the potential to transform how organizations manage their resources, leading to improved operational efficiency.

Collaborations

Some of his notable coworkers include Ioannis Giannakakis and Xiaoyu Zheng, who contribute to the collaborative environment at Amazon Technologies, Inc.

Conclusion

Salar Jahedi's work in dynamic resource prediction showcases his commitment to innovation and efficiency in resource management. His contributions are paving the way for advancements in how organizations allocate and utilize their resources effectively.

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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