Fremont, CA, United States of America

Guangqiang Li

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guangqiang Li. Retrieved from https://idiyas.com/inventor/guangqiang-li-alp292fa

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: Innovations of Guangqiang Li

Introduction

Guangqiang Li is an accomplished inventor based in Fremont, CA. He has made significant contributions to the field of database technology, particularly through his innovative patent related to resource allocation for data loading.

Latest Patents

Guangqiang Li holds a patent for a system titled "Bulk loader scaling." This patent describes systems and methods for allocating computing resources to load data into a database. The database service obtains a request to load a number of data chunks and scales the number of worker threads accordingly. This innovative approach allows for efficient data loading by selecting a maximum number of worker threads based on the number of data chunks and assigning individual threads to load these chunks. The system also tracks available worker threads to optimize the loading process.

Career Highlights

Guangqiang Li is currently employed at Amazon Technologies, Inc., where he continues to develop and refine technologies that enhance database performance and efficiency. His work has had a notable impact on how data is managed and processed in large-scale systems.

Collaborations

Some of Guangqiang Li's coworkers include Ilie Gabriel Tanase and Serkan Turgut, who contribute to the innovative environment at Amazon Technologies, Inc.

Conclusion

Guangqiang Li's contributions to database technology through his patent demonstrate his expertise and commitment to innovation in the field. His work continues to influence how data is efficiently managed and processed in modern computing environments.

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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