Mysuru, India

Rajath Jain

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rajath Jain. Retrieved from https://idiyas.com/inventor/rajath-jain

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rajath Jain - Innovator in AI-Based System Architecture

Introduction

Rajath Jain is an inventor based in Mysore, India. He is known for his innovative work in the field of artificial intelligence and machine learning. His contributions focus on developing systems that enhance the generation of system architecture representations.

Latest Patent Applications

Rajath Jain has submitted a patent application titled "ARTIFICIAL INTELLIGENCE (AI)-BASED SYSTEM AND METHOD FOR GENERATING SYSTEM ARCHITECTURE REPRESENTATIONS." This application outlines systems and methods for generating system architecture representation by implementing machine learning techniques. The system is designed to receive requests from users for generating architecture representations and subsequently generates an architecture summary. It determines relevant architecture patterns based on the context of the generated summary using large language models and machine learning models. Furthermore, the system generates architecture code corresponding to the request and validates it against compliance-based, legal-based, and security-based rules specific to an organization. Upon successful validation, the system outputs the generated architecture code and the architecture representation on a user interface.

Conclusion

Rajath Jain is making significant strides in the field of artificial intelligence with his innovative patent application. His work aims to streamline the process of generating system architecture representations, showcasing the potential of machine learning in this domain.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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