Company Filing History:
2 out of 139 
2 out of 150 
Years Active: 2023-2024
Title: Vignesh Narayanaswamy: Innovator in Adaptive Content Placement
Introduction
Vignesh Narayanaswamy is a notable inventor based in Coimbatore, India. He has made significant contributions to the field of audiovisual content placement through innovative methods and technologies. With a total of 2 patents, his work focuses on enhancing user experience across various electronic devices.
Latest Patents
Vignesh's latest patents include methods and apparatuses for the adaptive placement of audiovisual content on user devices. These innovations utilize machine learning techniques to dynamically adjust the placement of secondary content displayed across numerous user devices over time. The user devices may include electronic computing devices such as mobile phones and digital televisions. The secondary content is displayed within open slots of webpages or display screens, selected for display during a real-time bidding process. In response to a bid request for an open slot, a computer-implemented bid generation system identifies the secondary content to be displayed, determines a bid amount, and transmits a bid response that includes both the bid amount and the identified secondary content.
Career Highlights
Vignesh has worked with prominent companies in the technology sector, including Dish Network Technologies India Private Limited and Sling Media LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions for content placement.
Collaborations
Throughout his career, Vignesh has collaborated with talented individuals such as Vinay Tiwari and Amith Kumar Ullur Raghavendra. These collaborations have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Vignesh Narayanaswamy is a pioneering inventor whose work in adaptive content placement is shaping the future of user interaction with technology. His contributions are significant in the realm of audiovisual content and machine learning applications.