This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Vamsi Krishna Giridharan: Innovator in Data Management Solutions
Introduction: Vamsi Krishna Giridharan is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing search management systems, particularly in transactional and batch-updated data stores.
Latest Patents: Vamsi holds a patent for a "Transactional and batch-updated data store search." This invention describes a search management system and method that performs searches across two sets of records: one maintained in a transactional data store and the other in a batch-updated data store. The system merges search results from both data stores to generate a comprehensive dataset in response to search queries. The transactional layer is designed to manage records based on recent operations, ensuring efficient data handling and retrieval.
Career Highlights: Vamsi Krishna Giridharan is currently employed at Amazon Technologies, Inc., where he applies his expertise in data management and search technologies. His innovative approach has contributed to the development of advanced systems that improve data accessibility and usability.
Collaborations: Vamsi has worked alongside talented colleagues, including Stefano Stefani and Ming Xie, who share his commitment to innovation in technology.
Conclusion: Vamsi Krishna Giridharan's contributions to data management through his patent demonstrate his role as a forward-thinking inventor. His work continues to influence the way data is searched and managed in modern systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
