This inventor holds 2 USPTO granted patents. Top assignee: Sandisk Technologies Inc.. Active years: 2016-2017.
Company Filing History:
Years Active: 2016-2017
Title: Innovations by Sachin Krishne Gowda
Introduction
Sachin Krishne Gowda is an accomplished inventor based in Hassan, India. He has made significant contributions to the field of data storage and error correction technologies. With a total of 2 patents, his work focuses on enhancing the reliability and efficiency of data management systems.
Latest Patents
One of his latest patents is titled "Approach to correct ECC errors using duplicate copies of data." This invention discloses devices and methods for correcting errors in data. The method involves determining that both a first copy and a second copy of data contain errors that cannot be corrected by an error correction code (ECC) engine. The ECC engine is modified based on this determination, allowing for the processing of both copies to correct the errors effectively.
Another notable patent is "Systems and methods to update reference voltages of non-volatile memory." This invention describes a data storage device that includes non-volatile memory and a controller. The controller is designed to read data from the non-volatile memory, which indicates the activation status of storage elements at different times. It generates an updated reference voltage based on the differences in counts of these elements, improving the performance of the memory system.
Career Highlights
Sachin currently works at Sandisk Technologies Inc., where he continues to innovate in the field of data storage solutions. His expertise in error correction and memory management has positioned him as a valuable asset to his team.
Collaborations
He collaborates with talented coworkers such as Sateesh Desireddi and Nagi Reddy Chodem, contributing to a dynamic work environment that fosters innovation.
Conclusion
Sachin Krishne Gowda's contributions to data storage technology and error correction are noteworthy. His patents reflect a commitment to improving data reliability and efficiency in modern systems.
