Company Filing History:
Years Active: 2020-2025
Title: Innovations of Jyotiswarup Pai Raiturkar
Introduction
Jyotiswarup Pai Raiturkar is a notable inventor based in Bellandur, India. He has made significant contributions to the field of machine learning and recommendation systems. With a total of 4 patents to his name, Raiturkar continues to push the boundaries of technology and innovation.
Latest Patents
Raiturkar's latest patents focus on methods and systems for using machine learning techniques to identify and recommend relevant offers. One of the key innovations involves a recommendation system that correlates user attributes with offer attributes based on historical data. This system trains a machine learning model to predict user interest in various offers. By obtaining current user and offer data, the model generates a predicted level of interest for each offer. The system then identifies offers that exceed a certain interest threshold and generates recommendations accordingly. Another patent emphasizes transforming user data into machine learning training data, which includes historical offer attributes and user attributes. This data is utilized to train offer/attribute matching models, which help in identifying current offers predicted to have a threshold level of user interest.
Career Highlights
Jyotiswarup Pai Raiturkar is currently employed at Intuit, Inc., where he applies his expertise in machine learning and data analysis. His work has significantly impacted the way offers are recommended to users, enhancing user experience and engagement.
Collaborations
Raiturkar has collaborated with notable colleagues such as Yao H Morin and James Rodney Jennings. These collaborations have contributed to the development of innovative solutions in the field of recommendation systems.
Conclusion
Jyotiswarup Pai Raiturkar is a pioneering inventor whose work in machine learning and recommendation systems has led to valuable patents and advancements in technology. His contributions continue to shape the future of user engagement and personalized offers.