This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Supriya Nagesh: Innovator in Vector-Based Search Technologies
Introduction
Supriya Nagesh is a prominent inventor based in Sunnyvale, California. She has made significant contributions to the field of data search technologies, particularly in vector-based search methodologies. Her innovative approach has led to the development of a unique patent that enhances the efficiency of data retrieval processes.
Latest Patents
Supriya holds a patent titled "Filter direction modifications to vector-based search." This patent involves performing filter direction modifications in vector-based searches. A query data item is obtained along with a data item filter to perform a data item search on a set of data items. A query vector that represents the query in feature space is generated and modified using a filter vector obtained from a matrix of filter vectors generated for the data item filters. The modified query vector is then utilized to perform a search technique to identify data items to return as a result for the search. She has 1 patent to her name.
Career Highlights
Supriya Nagesh is currently employed at Amazon Technologies, Inc., where she continues to innovate and develop advanced search technologies. Her work at Amazon has positioned her as a key player in the tech industry, contributing to the company's mission of enhancing user experience through improved data search capabilities.
Collaborations
Supriya has collaborated with notable colleagues, including Milind Arjanbhai Shyani and Yonatan Naamad. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Supriya Nagesh is a trailblazer in the field of vector-based search technologies, with her innovative patent showcasing her expertise and commitment to advancing data retrieval methods. Her contributions continue to shape the future of search technology.
