Santa Cruz, CA, United States of America

Gregory Levin


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 63(Granted Patents)


Company Filing History:


Years Active: 2017-2018

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2 patents (USPTO):Explore Patents

Title: Gregory Levin: Innovator in Data Management Technologies

Introduction

Gregory Levin is a notable inventor based in Santa Cruz, CA. He has made significant contributions to the field of data management, particularly in optimizing data usage in limited environments. With a total of 2 patents, Levin's work is recognized for its innovative approach to enhancing user experience in portable computing devices.

Latest Patents

Levin's latest patents focus on reducing data use in limited data environments. The first patent describes a non-transitory computer-readable storage medium that includes instructions for prompting users to activate a data-saving feature based on previous user behavior. This feature is designed to enhance the efficiency of data usage during sessions on portable devices. The second patent similarly addresses data-saving mechanisms, activating features when the device detects it is in a limited data environment. This proactive approach ensures that users are guided to optimize their data consumption effectively.

Career Highlights

Gregory Levin is currently employed at Google Inc., where he continues to innovate and develop technologies that improve data management. His work at Google has allowed him to leverage the company's resources and expertise to bring his ideas to fruition. Levin's contributions are instrumental in shaping the future of data usage in mobile technology.

Collaborations

Levin collaborates with talented individuals such as Tiantian Zha and Joshua Woodward. Their combined expertise fosters a creative environment that drives innovation and enhances the development of new technologies.

Conclusion

Gregory Levin's work in data management technologies exemplifies the impact of innovative thinking in the tech industry. His patents not only address current challenges but also pave the way for future advancements in data usage optimization.

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