Singapore, Singapore

Jintao Guo


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Jintao Guo: Innovator in Data Storage Solutions

Introduction

Jintao Guo is a notable inventor based in Singapore, recognized for his contributions to data storage technologies. He holds a patent that showcases his innovative approach to improving the efficiency of historical data representations. His work is particularly relevant in today's data-driven world, where effective data management is crucial.

Latest Patents

Jintao Guo's patent, titled "Alteration of historical data representations using data repository performance metrics," introduces techniques that utilize machine learning to optimize storage configurations for historical data. The patent describes a computer system that stores representations of historical data based on current storage parameters. This system can respond to queries for historical data by retrieving stored representations and determining performance metrics for these responses. By training a machine learning model with these metrics, the system can update storage parameters, ultimately enhancing query response times and reducing storage size.

Career Highlights

Jintao Guo is currently employed at PayPal, Inc., where he applies his expertise in data management and machine learning. His innovative work has positioned him as a key player in the field of data storage solutions. His contributions are instrumental in advancing the efficiency of data retrieval processes.

Collaborations

Jintao collaborates with talented individuals such as Kai Xie and Lin Song, who contribute to the innovative environment at PayPal. Their teamwork fosters creativity and drives the development of cutting-edge solutions in data management.

Conclusion

Jintao Guo's work exemplifies the intersection of technology and innovation in data storage. His patent reflects a significant advancement in the field, demonstrating the potential of machine learning to enhance data management practices. His contributions are vital in shaping the future of data storage solutions.

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