This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. 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: Shobha Vasudevan: Innovator in Machine Learning
Introduction
Shobha Vasudevan is a prominent inventor based in Palo Alto, CA. She has made significant contributions to the field of machine learning, particularly in the area of learned database tasks. Her innovative approach has garnered attention in the tech community, especially through her work at Google Inc.
Latest Patents
Shobha holds a patent for a foundational machine learning model designed for learned database tasks. This model is task-independent and can be utilized with low overhead to accomplish various learned database tasks. It includes a plurality of expert sub-models, each pre-trained for specific tasks, allowing for efficient execution based on the database task at hand. This foundational model significantly reduces training overhead by leveraging particular expert sub-models tailored to the task requirements.
Career Highlights
Throughout her career, Shobha has demonstrated a commitment to advancing machine learning technologies. Her work at Google Inc. has positioned her as a key player in the development of innovative solutions that enhance database management and processing capabilities.
Collaborations
Shobha has collaborated with notable colleagues, including Johannes Wehrstein and Yawen Wang. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Shobha Vasudevan's contributions to machine learning and database tasks exemplify her innovative spirit and dedication to advancing technology. Her work continues to influence the field and inspire future innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
