Hyderabad Telangana, India

Bachu Mohan


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Bachu Mohan in Cloud Infrastructure Testing

Introduction

Bachu Mohan is an accomplished inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of cloud infrastructure testing through his innovative patent. His work focuses on automating the testing of infrastructure-as-code (IaC) in multi-cloud environments, which is crucial for modern software development.

Latest Patents

Bachu Mohan holds a patent for a "System and method for cloud infrastructure test automation." This automated and dynamic system is designed to validate infrastructure provisioned in multi-cloud environments. It accommodates any cloud provider and aims to eliminate manual errors while enabling early detection of issues before production deployment. The implementation of this system empowers teams to go live earlier and integrates seamlessly with existing DevOps pipelines for rapid test execution. It allows for the creation and execution of complex scenarios to validate low-level configurations upon cloud infrastructure setup.

Career Highlights

Bachu Mohan is currently employed at Accenture Global Solutions Limited, where he applies his expertise in cloud technologies and automation. His innovative approach has positioned him as a valuable asset in the tech industry, particularly in enhancing the efficiency of cloud infrastructure testing.

Collaborations

Bachu has collaborated with notable colleagues such as Mahesh Venkataraman and Mallika Fernandes, contributing to various projects that leverage his patent and expertise in cloud infrastructure.

Conclusion

Bachu Mohan's contributions to cloud infrastructure testing through his innovative patent demonstrate his commitment to advancing technology in this field. His work not only enhances efficiency but also significantly reduces the risk of errors in cloud deployments.

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