Sunnyvale, CA, United States of America

Kanishk Kaul


Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Kanishk Kaul - Innovator in Software Modernization

Introduction

Kanishk Kaul is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of software modernization, particularly through his innovative patent. His work focuses on enhancing the process of updating software applications to meet modern architectural standards.

Latest Patents

Kanishk holds a patent titled "Guided modernization of software applications using application templates." This patent describes techniques for assisting users in modernizing software applications from traditional architectural patterns, such as model-view-controller (MVC) and multitier architectures, to more contemporary patterns like microservices and event-driven architectures. The patent outlines a decomposition analyzer that processes artifacts associated with a software application and generates a graph-based model. This model includes nodes representing application components and edges that illustrate dependency relationships among these components. The analyzer employs machine learning techniques to recommend groupings of nodes for decomposition, which can be visualized for user assessment.

Career Highlights

Kanishk is currently employed at Amazon Technologies, Inc., where he continues to innovate in the realm of software development. His expertise in software architecture and modernization has positioned him as a valuable asset in his field.

Collaborations

Kanishk has collaborated with notable colleagues, including Jiangtao Zhang and Mark Fawaz, contributing to various projects that enhance software application development and modernization.

Conclusion

Kanishk Kaul's contributions to software modernization through his patent and work at Amazon Technologies, Inc. highlight his role as an influential inventor in the tech industry. His innovative techniques are paving the way for more efficient software development practices.

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