Amith Kumar Ullur Raghavendra

Title: Amith Kumar Ullur Raghavendra: Innovator in Adaptive Content Placement

Introduction

Amith Kumar Ullur Raghavendra is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in the area of adaptive placement of audiovisual content on user devices. With a total of 2 patents to his name, Raghavendra's work showcases the intersection of machine learning and user experience.

Latest Patents

Raghavendra's latest patents focus on methods and apparatuses that utilize machine learning techniques to dynamically adjust the placement of secondary content displayed across various user devices. These devices include electronic computing devices such as mobile phones and digital televisions. The patents describe how secondary content can be displayed within open slots of webpages or display screens, responding to real-time bidding processes for these slots. In certain scenarios, a computer-implemented bid generation system identifies the secondary content for display, determines a bid amount, and transmits a bid response that includes both the bid amount and the identified secondary content.

Career Highlights

Throughout his career, Raghavendra has worked with prominent companies such as Dish Network Technologies India Private Limited and Sling Media LLC. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that enhance user engagement through adaptive content placement.

Collaborations

Raghavendra has collaborated with talented individuals in his field, including Vinay Tiwari and Vignesh Narayanaswamy. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Amith Kumar Ullur Raghavendra is a distinguished inventor whose work in adaptive content placement has the potential to transform user experiences across various digital platforms. His innovative approach and contributions to machine learning continue to influence the technology landscape.