This inventor holds 4 USPTO granted patents and 6 published patent applications. Top assignee: Oracle International Corporation. Active years: 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: 2026
Title: Innovations by Vanshika Sridharan
Introduction
Vanshika Sridharan is an accomplished inventor based in San Mateo, CA (US). She has made significant contributions to the field of machine learning and data augmentation. With a total of 4 patents to her name, her work focuses on enhancing the stability and robustness of intent prediction models.
Latest Patents
Vanshika's latest patents include innovative techniques for positive entity-aware augmentation. One of her notable patents describes methods for improving the stability of intent prediction models through a two-stage augmentation process. This method involves accessing a first set of training data, applying positive data augmentation techniques, and generating expanded training data for model training. Another patent outlines techniques for two-stage entity-aware data augmentation, which enhances model robustness by replacing entity values with random values of the same entity type. These advancements are crucial for improving the performance of machine learning models in dynamic environments.
Career Highlights
Vanshika currently works at Oracle International Corporation, where she applies her expertise in machine learning and data augmentation. Her innovative approaches have garnered attention in the tech industry, contributing to the advancement of AI technologies.
Collaborations
Vanshika collaborates with talented individuals such as Mark Edward Johnson and Thanh Long Duong. Their combined efforts in research and development have led to significant advancements in their respective fields.
Conclusion
Vanshika Sridharan is a pioneering inventor whose work in data augmentation and machine learning is shaping the future of intent prediction models. Her contributions are vital for enhancing the capabilities of AI technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
