Los Angeles, CA, United States of America

Sunipa Dev

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Visa International Service Association. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sunipa Dev. Retrieved from https://idiyas.com/inventor/sunipa-dev-s9erx5r7

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations by Sunipa Dev in Machine Learning

Introduction

Sunipa Dev is an accomplished inventor based in Los Angeles, CA. She has made significant contributions to the field of machine learning, particularly in the area of debiasing embedding vectors. Her innovative work has the potential to enhance the fairness and accuracy of machine learning models.

Latest Patents

Sunipa Dev holds a patent titled "System, method, and computer program product for debiasing embedding vectors of machine learning models." This patent describes a comprehensive method that includes receiving embedding vectors and generating two clusters thereof. The method involves determining mean vectors for each cluster and assessing biases associated with candidate vectors. By replacing the mean vectors based on these biases, the method aims to debias the embedding vectors through linear projection. This innovative approach is crucial for improving the performance of machine learning models.

Career Highlights

Sunipa Dev is currently employed at Visa International Service Association, where she applies her expertise in machine learning to develop advanced solutions. Her work at Visa highlights her commitment to leveraging technology for practical applications in the financial sector.

Conclusion

Sunipa Dev's contributions to machine learning through her patent and work at Visa International Service Association demonstrate her innovative spirit and dedication to advancing technology. Her efforts in debiasing embedding vectors are paving the way for more equitable machine learning applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…