Secaucus, NJ, United States of America

Michael Curtis James


Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 10(Granted Patents)


Location History:

  • Secaucus, NJ (US) (2020)
  • Hudson, NJ (US) (2022)

Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Michael Curtis James: Innovator in Data Optimization

Introduction

Michael Curtis James is a notable inventor based in Secaucus, NJ (US). He has made significant contributions to the field of data storage and optimization, holding two patents that showcase his innovative approach to solving complex problems in hierarchical data management.

Latest Patents

His latest patents include "Automating optimizations for items in a hierarchical data store" and "Validating data for deployment." The first patent focuses on automating the performance of optimizations to correct duplicate, missing, or other user-induced errors in hierarchical data storage. This technology utilizes relationships between items to determine necessary modifications and assesses their impact on query performance. The second patent describes a technology for deploying datasets to a production data store, which involves creating a temporary dataset in a preproduction staging store and performing consistency checks to ensure compliance with dataset specifications before final deployment.

Career Highlights

Michael Curtis James is currently employed at Amazon Technologies, Inc., where he applies his expertise in data optimization and management. His work contributes to enhancing the efficiency and reliability of data storage solutions.

Collaborations

Some of his coworkers include Amol Godbole and Daniel Rohr, who collaborate with him on various projects within the company.

Conclusion

Michael Curtis James is a distinguished inventor whose work in data optimization has the potential to significantly improve hierarchical data management practices. His innovative patents reflect his commitment to advancing technology in this critical area.

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