Bengaluru, India

Inderjeet Singh

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Inderjeet Singh. Retrieved from https://idiyas.com/inventor/inderjeet-singh-6usl1kjk

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Inderjeet Singh: Inventor in Adaptive AI Systems

Introduction

Inderjeet Singh is an inventor based in Bengaluru, India. His work includes a patent on improving how large language models generate responses by combining them with adaptive retrieval from databases. Singh is associated with Accenture Global Solutions Limited.

Latest Patents

Singh is named on 1 patent: “Query Response Generation by Integrating Adaptive Retrieval-Augmented Generation with Large Language Model.” The invention describes a system that receives a query and routes it to a database according to the type of question. It uses relevant database results to generate an initial response with a large language model, then evaluates that response against predetermined quality criteria. If the response does not meet those criteria, the system can change its actions or configuration to produce a second response intended to satisfy them.

Career Highlights

Singh’s patent focuses on combining database retrieval, large language models, and response-quality evaluation. This approach is designed to adapt the generation process when an initial answer falls short of specified standards.

Collaborations

Singh’s listed coworker is Krishna Kummamuru. His professional association with Accenture Global Solutions Limited provides context for his work on AI and retrieval-augmented response generation.

Conclusion

Inderjeet Singh’s patented work addresses a key challenge in AI systems: generating query responses that are both informed by relevant data and evaluated against defined quality criteria.

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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