Sonoma, CA, United States of America

Nathan L Prziborowski

USPTO Granted Patents = 6 

Average Co-Inventor Count = 6.6

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • Sonoma, CA (US) (2018 - 2022)
  • Eugene, OR (US) (2023)

Company Filing History:


Years Active: 2018-2025

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6 patents (USPTO):

Title: Nathan L Prziborowski: Innovator in Virtual Machine Technology

Introduction

Nathan L Prziborowski is a notable inventor based in Sonoma, California. He has made significant contributions to the field of virtual machine technology, holding a total of five patents. His work focuses on improving the efficiency and effectiveness of virtual machine operations.

Latest Patents

One of Nathan's latest patents is titled "Efficient mass virtual machine (VM) cloning." This invention involves a method for distributing copies of virtual disks across multiple datastores before cloning begins. This approach allows for quicker and more efficient creation of virtual machine clones by utilizing pre-existing disk pools. Another significant patent is "Migration of network file copy operations between host computing devices." This patent outlines a method for transferring data operations seamlessly between two host devices, enhancing the efficiency of network file transfers.

Career Highlights

Nathan L Prziborowski is currently employed at VMware, Inc., a leading company in virtualization and cloud infrastructure. His innovative work has contributed to the advancement of technologies that support efficient data management and virtual machine operations.

Collaborations

Throughout his career, Nathan has collaborated with talented individuals such as Gabriel Tarasuk-Levin and Prachetaa Raghavan. These collaborations have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Nathan L Prziborowski is a distinguished inventor whose work in virtual machine technology has made a significant impact in the field. His patents reflect a commitment to enhancing efficiency and functionality in data management.

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