Bengaluru, India

Manish Agarwal

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Manish Agarwal: Innovator in Deep Learning Technologies

Introduction

Manish Agarwal is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of deep learning, particularly in the processing of text transcripts. With a total of 2 patents, his work focuses on enhancing the understanding and analysis of communication data.

Latest Patents

Manish's latest patents include innovative systems and methods for identifying zones of interest in text transcripts using deep learning. One of his notable inventions involves an application that receives input specifying a text statement type and determines heuristics for identifying relevant statements in transcripts. This application can generate graphical indications to highlight important statements, thereby improving the user experience in analyzing text data.

Another significant patent is related to a learning framework for processing communication session transcripts. This framework allows an application to receive queries based on topics and determine subtopics. It computes sentiment scores for each transcript and evaluates the duration of communication sessions, ultimately returning a subset of transcripts that meet specific criteria.

Career Highlights

Manish Agarwal is currently employed at Capital One Services, LLC, where he continues to innovate and develop advanced technologies. His work has been instrumental in enhancing the capabilities of applications that process and analyze text data.

Collaborations

Some of Manish's coworkers include Akshay Aravindakshan Thoniparambil and Sourav Choudhary, who contribute to the collaborative environment that fosters innovation at Capital One Services.

Conclusion

Manish Agarwal's contributions to deep learning and text analysis are noteworthy, and his patents reflect his commitment to advancing technology in this field. His work continues to influence how communication data is processed and understood, paving the way for future innovations.

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