Sunnyvale, CA, United States of America

Rahul Mathias Madan


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2017-2023

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3 patents (USPTO):Explore Patents

Title: Innovations of Rahul Mathias Madan

Introduction

Rahul Mathias Madan is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of technology, particularly in database matching systems. With a total of three patents to his name, his work showcases the intersection of machine learning and data management.

Latest Patents

One of his latest patents is titled "Adaptive Field-Level Matching." This invention describes a system that identifies first elements in a field of a prospective record for a database and second elements in the field of a candidate record for matching purposes. The system identifies features corresponding to identical elements, absent elements, and determines a field match score using a machine-learning model. Another notable patent is "Adaptive Match Indexes," which involves determining counts of records storing specific values in various fields. This system creates match indexes based on these counts and thresholds, enhancing the efficiency of record matching.

Career Highlights

Throughout his career, Rahul has worked with prominent companies such as VMware, Inc. and Salesforce, Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that leverage advanced technologies.

Collaborations

Rahul has collaborated with talented individuals in the industry, including Arun Kumar Jagota and Ajitesh Jain. These partnerships have fostered a creative environment that encourages the development of groundbreaking ideas.

Conclusion

Rahul Mathias Madan is a notable inventor whose work in adaptive matching systems has the potential to revolutionize data management. His contributions to the field are significant, and his patents reflect a deep understanding of machine learning applications.

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