Mountain View, CA, United States of America

Shubham Jain

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Shubham Jain: Innovator in Feature Analysis and Fraud Detection

Introduction

Shubham Jain is a notable inventor based in Mountain View, CA. He has made significant contributions to the fields of feature analysis and fraud detection, holding a total of 2 patents. His work is characterized by innovative systems and methods that enhance data processing and security.

Latest Patents

Shubham Jain's latest patents include a "System, method, and computer program product for feature analysis using an embedding tree." This invention provides a system for analyzing features associated with entities using an embedding tree. The system includes at least one processor programmed to receive a dataset associated with multiple entities, generating embeddings based on the dataset, and determining split criteria for partitioning an embedding space. Additionally, he holds a patent for a "System, method, and computer program product for determining fraud." This method involves receiving a transaction request, generating risk scores based on transaction data, and classifying transactions as potentially fraudulent based on these scores.

Career Highlights

Shubham Jain is currently employed at Visa International Service Association, where he applies his expertise in technology and data analysis. His work at Visa focuses on developing innovative solutions that enhance transaction security and improve feature analysis.

Collaborations

Shubham has collaborated with notable colleagues such as Wei Zhang and Liang Wang, contributing to advancements in their respective fields.

Conclusion

Shubham Jain's contributions to technology through his patents and work at Visa highlight his role as an influential inventor in the realms of feature analysis and fraud detection. His innovative approaches continue to shape the future of data processing and security.

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