Papampeta, India

Balasubramanyam Besta


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):

Title: Balasubramanyam Besta: Innovator in Architecture Diagram Generation

Introduction

Balasubramanyam Besta is a notable inventor based in Papampeta, India. He has made significant contributions to the field of architecture diagram generation through his innovative patent. His work exemplifies the intersection of technology and architecture, showcasing the potential of machine learning in enhancing design processes.

Latest Patents

Balasubramanyam Besta holds a patent for a "System for generating an architecture diagram." This system includes an input processor, a machine learning processor, and an advice generator. The input processor is designed to receive entity data related to various architecture entities and path data that corresponds to their interconnections. The machine learning processor evaluates whether the entities are correctly interconnected based on the provided path data. The advice generator then prepares recommendations based on this assessment, which are communicated back to the terminal. User feedback is incorporated into the training data to enhance the relevance of future recommendations.

Career Highlights

Balasubramanyam Besta is currently employed at Accenture Global Solutions Limited, where he applies his expertise in technology and architecture. His role involves leveraging his patent to improve architectural design processes and contribute to innovative solutions within the company.

Collaborations

He collaborates with talented professionals such as Manoharan Ramasamy and Nitin Madhukar Sawant, who share a commitment to advancing technology in their respective fields.

Conclusion

Balasubramanyam Besta's contributions to the field of architecture diagram generation highlight the importance of innovation in technology. His patent not only showcases his inventive spirit but also emphasizes the role of machine learning in enhancing architectural practices.

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