Maharashtra, India

Kishor Paygude


Average Co-Inventor Count = 6.5

ph-index = 2

Forward Citations = 21(Granted Patents)


Location History:

  • Hyderabad, IN (2010)
  • Maharashtra, IN (2009 - 2012)
  • Pune, IN (2014)

Company Filing History:


Years Active: 2009-2014

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4 patents (USPTO):Explore Patents

Title: Innovations by Kishor Paygude

Introduction

Kishor Paygude is an accomplished inventor based in Maharashtra, India. He has made significant contributions to the field of data recovery and storage systems, holding a total of four patents. His innovative approaches have enhanced data integrity and recovery processes in enterprise environments.

Latest Patents

One of Kishor's latest patents is titled "Recovery point data view shift through a direction-agnostic roll algorithm." This invention discloses a method and system for forming a data view around a recovery point and shifting it using a direction-agnostic roll algorithm. The algorithm employs both roll-forward and roll-backward techniques to adjust the data view relative to the recovery point, ensuring data integrity by examining associated data and meta-data. Another notable patent is "Ensuring data persistence and consistency in enterprise storage backup systems." This method involves creating a data log structure on a storage device to store backup data generated by a filter module, thereby enhancing the efficiency of continuous backup environments.

Career Highlights

Kishor has worked with several companies, including Inmage Systems, Inc. and Iwmage Systems, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in data management and recovery.

Collaborations

Kishor has collaborated with notable professionals in his field, including Rajeev Atluri and Srin Kumar. These partnerships have contributed to the advancement of his projects and innovations.

Conclusion

Kishor Paygude's work in data recovery and storage systems exemplifies the impact of innovation in technology. His patents reflect a commitment to improving data integrity and efficiency in enterprise environments.

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