Tapan Oza

Title: Tapan Oza: Innovator in Machine Learning and Streaming Technology

Introduction

Tapan Oza is a prominent inventor based in Round Rock, TX (US). He has made significant contributions to the field of machine learning, particularly in the area of adaptive bitrate selection for data streaming. With a total of 2 patents, Oza's work is paving the way for advancements in how data is transmitted over networks.

Latest Patents

One of Tapan Oza's latest patents focuses on machine learning for adaptive bitrate selection. This invention discloses various embodiments, including systems, apparatuses, and methods for modifying parameters of a data streaming bitrate selection algorithm using machine learning. An example embodiment involves training a first machine learning model to predict sustainable network bandwidth. A second model is trained to assess the likelihood that this bandwidth will not deplete a data buffer of streaming data. The bitrate is then selected based on this likelihood being below a certain threshold percentage, such as 50%. This innovative approach enhances the efficiency of data streaming, ensuring a smoother user experience.

Career Highlights

Tapan Oza is currently employed at Roku, Inc., where he continues to develop cutting-edge technologies in streaming and data management. His expertise in machine learning and data algorithms has positioned him as a valuable asset in the tech industry.

Collaborations

Throughout his career, Oza has collaborated with talented professionals, including Amit Paliwal and Andrey Marsavin. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Tapan Oza's contributions to machine learning and adaptive bitrate selection are noteworthy. His patents reflect a commitment to improving data streaming technologies, making significant strides in the industry. Oza's work continues to influence the future of streaming and data management.