Santa Clara, CA, United States of America

Dinesh Kumar

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 12(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2021 - 2023)
  • San Jose, CA (US) (2024)

Company Filing History:


Years Active: 2021-2024

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6 patents (USPTO):Explore Patents

Title: Dinesh Kumar: Innovator in Machine Learning and Data Management

Introduction

Dinesh Kumar is a prominent inventor based in Santa Clara, CA. He has made significant contributions to the fields of machine learning and data management, holding a total of six patents. His work focuses on developing innovative solutions for classifying and managing text data.

Latest Patents

Dinesh's latest patents include "Classifier determination through label function creation and unsupervised learning." This invention addresses the challenges of classifying unlabeled sequential text data from various sources, such as text messages and social media applications. The techniques he developed enable the training of machine learning algorithms to classify this data effectively. Another notable patent is "Data management using topic modeling," which describes systems and methods for analyzing text comments related to user transactions. This invention utilizes machine learning to determine topics associated with text comments, allowing for various actions to be performed based on the assigned topics.

Career Highlights

Dinesh Kumar is currently employed at PayPal, Inc., where he applies his expertise in machine learning and artificial intelligence. His work at PayPal focuses on enhancing data management processes and improving user experience through innovative technologies.

Collaborations

Dinesh has collaborated with talented individuals such as Fransisco Kurniadi and Yaqin Yang. These collaborations have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Dinesh Kumar is a notable inventor whose work in machine learning and data management has led to significant advancements in the field. His innovative patents and contributions continue to shape the way we classify and manage text data.

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