This inventor holds 3 USPTO granted patents. Top assignee: Visa International Service Association. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2026
Title: Innovations by Vivek Narayanan Nair
Introduction
Vivek Narayanan Nair is an accomplished inventor based in North York, Canada. He has made significant contributions to the field of machine learning, holding 3 patents that showcase his innovative approach to technology. His work primarily focuses on developing systems that enhance the efficiency and effectiveness of machine learning models.
Latest Patents
One of Vivek's latest patents is a "Model management system for developing machine learning models." This invention provides a method for creating a geographic agnostic machine learning model. The method involves selecting transaction data from payment transactions conducted by users in different geographic areas, formatting this data to create training data, and generating the machine learning model using this training data. Another notable patent is for a "System, method, and computer program product for segmenting users in a region based on predicted activity." This invention outlines a method for segmenting users in a specific region based on predicted activities that occur outside that region.
Career Highlights
Vivek Narayanan Nair is currently employed at Visa International Service Association, where he applies his expertise in machine learning to develop innovative solutions. His work at Visa has allowed him to contribute to advancements in payment technologies and user experience.
Collaborations
Vivek has collaborated with talented individuals such as Dhirender Singh Rathore and Keyuan Wu. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Vivek Narayanan Nair is a notable inventor whose work in machine learning has led to significant advancements in the field. His patents reflect his commitment to innovation and his ability to solve complex problems through technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
