Seattle, WA, United States of America

Yejin Yoon

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yejin Yoon. Retrieved from https://idiyas.com/inventor/yejin-yoon-4zfiheuc

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 = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yejin Yoon: Innovator in Database Resource Allocation

Introduction

Yejin Yoon is a prominent inventor based in Seattle, WA (US). She has made significant contributions to the field of database management through her innovative patent. Her work focuses on optimizing the allocation of computing resources for loading data into databases, which is crucial for enhancing data processing efficiency.

Latest Patents

Yejin Yoon holds a patent for a system and method titled "Bulk loader scaling." This patent describes a database service that efficiently allocates computing resources to load data chunks into a database. The system scales the number of worker threads based on the number of data chunks to be loaded. It also tracks the availability of worker threads to ensure optimal performance during the loading process.

Career Highlights

Yejin Yoon is currently employed at Amazon Technologies, Inc., where she continues to develop innovative solutions in database management. Her expertise in resource allocation has positioned her as a valuable asset to her team and the company.

Collaborations

Yejin collaborates with talented professionals such as Ilie Gabriel Tanase and Serkan Turgut. These collaborations enhance her work and contribute to the development of cutting-edge technologies in her field.

Conclusion

Yejin Yoon is a trailblazer in the realm of database resource allocation, with her patent showcasing her innovative approach to improving data loading processes. Her contributions are vital to the advancement of technology in database management.

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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