This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Synchrony Bank. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: The Innovative Mind of Tarun Saha
Introduction
Tarun Saha is a notable inventor based in Stamford, CT (US). He has made significant contributions to the field of data management and cloud computing. His innovative approach has led to the development of a unique patent that addresses the challenges of handling large datasets across cloud networks.
Latest Patents
Tarun Saha holds a patent titled "Methods and systems for loading large datasets across cloud networks." This patent describes a distributed acquisition environment that downloads a snapshot of a large dataset from one or more remote environments. The system is designed to operate on a nearly up-to-date instance of the dataset by regularly downloading data. The process begins when a computing device receives a request to load a dataset into the memory of the distributed acquisition environment. The dataset is divided into multiple data segments, each associated with a data loader. These segments are transferred to a temporary location within a cloud environment, allowing the data loaders to download them efficiently.
Career Highlights
Tarun Saha is currently employed at Synchrony Bank, where he applies his expertise in data management and cloud technologies. His work at the bank involves leveraging his innovative solutions to enhance data processing capabilities. With a focus on efficiency and reliability, Tarun has made a significant impact in his field.
Collaborations
Tarun collaborates with his coworker, David Chau, to further develop and implement innovative solutions in their projects. Their teamwork exemplifies the importance of collaboration in driving technological advancements.
Conclusion
Tarun Saha is a distinguished inventor whose work in cloud computing and data management has led to valuable innovations. His patent demonstrates a forward-thinking approach to handling large datasets, showcasing his commitment to improving technology in this area.
