This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: The Innovative Contributions of Sravanthi Pereddy
Introduction
Sravanthi Pereddy is a notable inventor based in Sammamish, WA (US). She has made significant contributions to the field of data processing, particularly in the realm of near-real-time systems. Her work is characterized by a focus on efficiency and innovation, which has garnered attention in the technology sector.
Latest Patents
One of her key patents is titled "Near-real-time data processing with partition files." This invention relates to implementing a near-real-time stream processing system using the same distributed file system as a batch processing system. The patent describes a method for generating a data container and partition files according to a partition window that specifies a time range for data inclusion. It also outlines how the data container is scanned to determine if the partition files are within a specified lifetime window for processing. For each partition file within this window, processing tasks are created based on the amount of data included. The data in the partition files is accessed, and the processing tasks are performed, with information recorded in a configuration data store. This innovative approach enhances the efficiency of data processing systems.
Career Highlights
Sravanthi Pereddy is currently employed at Microsoft Technology Licensing, LLC, where she continues to develop and refine her innovative ideas. Her work at Microsoft has allowed her to collaborate with leading experts in the field, further enhancing her contributions to technology.
Collaborations
Throughout her career, Sravanthi has worked alongside talented individuals such as Xu Liu and Steve Chun-Hao Hu. These collaborations have played a crucial role in the development of her innovative projects and patents.
Conclusion
In summary, Sravanthi Pereddy is a pioneering inventor whose work in near-real-time data processing has made a significant impact in the technology industry. Her innovative approach and dedication to her field continue to inspire others in the realm of data processing.