Charlottesville, VA, United States of America

Subash Maharjan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Subash Maharjan: Innovator in Dependency Identification Systems

Introduction

Subash Maharjan is a notable inventor based in Charlottesville, VA (US). He has made significant contributions to the field of application and data dependency identification, visualization, and management. His innovative work aims to streamline project implementation processes in complex computing environments.

Latest Patents

Maharjan holds a patent for "Systems for application and data dependency identification, visualization, and management." This patent describes a system that utilizes multiple dependency harvester applications or plugins to automatically source dependency data. The data is then translated into a standardized format to generate and identify dependency relationships across various computing platforms. The results of this automated process can provide valuable insights to project implementation personnel, helping to identify and quantify potential errors. This system can significantly reduce both personnel and time-to-implementation costs, especially in environments with complex data and application interdependencies.

Career Highlights

Subash Maharjan is currently employed at The Travelers Indemnity Company, where he continues to apply his expertise in innovative technology solutions. His work focuses on enhancing the efficiency of project implementations through advanced dependency management systems.

Collaborations

Maharjan has collaborated with talented individuals such as Yushen C Michelsen and Chunlei Li, contributing to the advancement of technology in his field.

Conclusion

Subash Maharjan's contributions to the field of dependency identification systems exemplify the impact of innovation on project management in computing environments. His work not only enhances efficiency but also reduces costs, showcasing the importance of technological advancements in today's complex data landscapes.

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