This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Services Gmbh. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Innovations by Santosh Ray
Introduction
Santosh Ray is an accomplished inventor based in Thane West, India. He has made significant contributions to the field of computing through his innovative patent. His work focuses on estimating the complexity of computing jobs, which is crucial for optimizing performance and resource allocation in various computing environments.
Latest Patents
Santosh Ray holds a patent for a method titled "Estimating a computing job complexity." This method involves retrieving selected data objects relevant to a data repository. Points are assigned to multiple elements of these selected data objects according to a predefined schedule. Scores for the selected data objects are calculated by applying a mathematical function to the multiple elements. The complexities of the data objects are then estimated based on the calculated scores and the predefined schedule. Ultimately, the complexity of the computing job is estimated based on the estimated complexities of the data objects, and this estimated complexity is stored for future reference. He has 1 patent to his name.
Career Highlights
Santosh Ray is currently employed at Accenture Global Services GmbH, where he continues to work on innovative solutions in the computing sector. His expertise in estimating job complexities has positioned him as a valuable asset to his team and the company.
Collaborations
Some of his notable coworkers include Sudha Sahasrabudhe and Vineet Tiyagi, who contribute to the collaborative environment at Accenture Global Services GmbH.
Conclusion
Santosh Ray's innovative approach to estimating computing job complexities showcases his dedication to advancing technology in the computing field. His contributions are significant and reflect the importance of innovation in enhancing computational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
