Medinipur, India

Subhadip Maji

USPTO Granted Patents = 3 

Average Co-Inventor Count = 7.1

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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3 patents (USPTO):Explore Patents

Title: Subhadip Maji: Innovator in Machine Learning and Natural Language Processing

Introduction

Subhadip Maji is a prominent inventor based in Medinipur, India. He has made significant contributions to the field of machine learning, particularly in natural language processing. With a total of three patents to his name, Maji is recognized for his innovative approaches to enhancing semantic intelligence in language solutions.

Latest Patents

One of Maji's latest patents focuses on machine learning techniques for natural language processing using predictive entity scoring. This invention addresses the need for more accurate and efficient natural language solutions. The method involves determining an overall prevalence score for input entity data with respect to a scored document corpus and a target section. It also includes determining a qualified prevalence score for the input entity data object with respect to a high-scoring subset of the scored document corpus. Furthermore, the process utilizes an entity scoring machine learning model to generate a predicted entity score, characterized by multiple hyper-parameters. This innovative approach allows for prediction-based actions based on the predicted entity score.

Career Highlights

Subhadip Maji is currently employed at Optum, Inc., where he continues to develop cutting-edge solutions in the realm of machine learning and natural language processing. His work is instrumental in advancing the capabilities of natural language solutions, making them more efficient and intelligent.

Collaborations

Maji collaborates with talented professionals in his field, including Raghav Bali and Nathan H Funk. Their combined expertise contributes to the innovative projects at Optum, Inc.

Conclusion

Subhadip Maji is a notable inventor whose work in machine learning and natural language processing is paving the way for more intelligent solutions. His patents reflect a commitment to enhancing the efficiency and accuracy of language technologies.

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