Hyderabad Telangana, India

Srikanth Jagrothu


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Srikanth Jagrothu

Introduction

Srikanth Jagrothu is an accomplished inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing data governance and integration in modern software systems.

Latest Patents

Jagrothu holds a patent for a "Method and system for model driven data mesh." This invention provides a federated, multi-product data mesh via automated code generation. The method involves receiving a data model through an application programming interface, which includes model artifacts defining data governance for a data product. It automatically generates source code for software components corresponding to data mesh components for the data product. The process also integrates data product customizations, including business logics and testing configurations. Furthermore, it initiates an automated continuous integration and continuous delivery pipeline to generate a service that corresponds to the data product based on the integrated software components. Finally, the generated service is deployed in a namespace that corresponds to the data product.

Career Highlights

Jagrothu is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in data management and software development. His innovative approach has contributed to the bank's efforts in enhancing data governance and operational efficiency.

Collaborations

Some of his notable coworkers include Deepak Ghosh and Ian Mark Miller, who collaborate with him on various projects within the bank.

Conclusion

Srikanth Jagrothu's contributions to the field of data management through his innovative patent demonstrate his commitment to advancing technology. His work at JPMorgan Chase Bank further highlights his role in shaping the future of data governance and integration.

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