Noida, India

Rachit Bansal

This inventor holds 1 USPTO granted patent. Top assignee: Tata Consultancy Services Limited. Active years: 2021.


% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Rachit Bansal - Innovator in Deep Learning Techniques

Introduction

Rachit Bansal is a prominent inventor based in Noida, India. He has made significant contributions to the field of artificial intelligence, particularly in the development of conversational agents. His innovative approach leverages deep learning techniques to enhance the processing of natural language queries.

Latest Patents

Rachit holds a patent for "Deep learning techniques based multi-purpose conversational agents for processing natural language queries." This patent outlines systems and methods that utilize deep learning to improve conversational systems. Traditional systems often struggle with processing a large number of intents, but Rachit's invention addresses this limitation by integrating multiple components. His approach includes high-level intent identification, user intent prediction, query classification, and response generation through knowledge graphs.

Career Highlights

Rachit Bansal is currently employed at Tata Consultancy Services Limited, where he continues to innovate in the field of artificial intelligence. His work focuses on enhancing the capabilities of conversational agents, making them more efficient and effective in understanding and responding to user queries.

Collaborations

Rachit collaborates with talented professionals such as Mahesh Prasad Singh and Puneet Kumar Agarwal. Together, they work on advancing the technology behind conversational agents and deep learning applications.

Conclusion

Rachit Bansal is a key figure in the development of advanced conversational agents through deep learning techniques. His contributions are paving the way for more intelligent systems that can better understand and process natural language queries.

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