This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Te Ken - Innovator in Secure Document Discovery
Introduction
Te Ken is an accomplished inventor based in Leander, TX (US). He has made significant contributions to the field of data discovery, particularly through his innovative patent. His work focuses on enhancing the security and efficiency of document discovery processes.
Latest Patents
Te Ken holds a patent titled "Secure distributed document discovery via vector similarity." This patent describes a data discovery service that performs searches using input data. The service sends the input data and an embedding protocol to various data repositories that consist of vector databases. It then receives results from these repositories, identifying documents along with their corresponding similarity scores. The service generates an overall ranking of the documents based on these scores and returns a query result that highlights a portion of the documents along with their rankings.
Career Highlights
Te Ken is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of data discovery. His expertise in this area has positioned him as a valuable asset to his team and the company.
Collaborations
Some of Te Ken's notable coworkers include Daryl Bernard Hammett and Xin Liang. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.
Conclusion
Te Ken's work in secure distributed document discovery showcases his commitment to innovation and excellence in technology. His contributions are paving the way for more secure and efficient data discovery solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
