Seattle, WA, United States of America

Kaituo Li


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Kaituo Li in Database Performance Analysis

Introduction

Kaituo Li is an inventive talent based in Seattle, Washington, who has made notable advancements in the field of database technology. With one patent to his name, he has contributed to enhancing the performance analysis for database queries, a critical area in the efficiency of data management systems.

Latest Patents

Kaituo Li's most significant innovation is encapsulated in his patent titled "Granular Performance Analysis for Database Queries." This patent focuses on monitoring and measuring the performance of different segments of database queries. It allows for a comparative analysis against established performance benchmarks, thus identifying segments that fall short of expectations. This targeted approach not only improves database efficiency but also enhances overall query performance.

Career Highlights

Kaituo Li is currently associated with Amazon Technologies, Inc., a leading enterprise known for its pioneering work in technology. His contributions at Amazon have played a crucial role in addressing the challenges of database management and query optimization.

Collaborations

Within Amazon Technologies, Kaituo collaborates with talented professionals such as Partha V Kanuparthy and Bhaven Avalani. Together, they work on various innovative projects that further research and development in the tech industry, particularly in optimizing database performance.

Conclusion

Kaituo Li stands out as a significant figure in the realm of database innovations. His patented approach to granular performance analysis not only showcases his inventive capabilities but also highlights his commitment to improving technological processes. As he continues to innovate at Amazon Technologies, his work is expected to have lasting impacts on database performance and overall efficiency within the industry.

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