This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Western Digital Technologies, Inc.. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: Innovations by Amit Chattopadhyay in Machine Learning for Storage Devices
Introduction
Amit Chattopadhyay is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of storage devices through his innovative patents. With a total of 4 patents, his work focuses on integrating machine learning techniques to enhance the performance and reliability of storage technologies.
Latest Patents
One of Amit's latest patents is titled "Machine learning defect management in storage devices." This invention provides methods for managing defects in Hard Disk Drive (HDD) storage devices. The approach involves testing only a portion of the cylinders of an HDD, utilizing a collection of machine learning models to reconstruct data for the untested cylinders. A defect file is generated for the HDD, and a classifier model may be applied to this file. If the defects are deemed unsuitable for the models, a comprehensive scan of the entire HDD is conducted. The HDD consists of a rotating disk and a read/write head that operates above the disk surface, formatted into concentric data tracks.
Another notable patent is "Embedded multi-attribute machine learning for storage devices." This invention outlines methods for tactically deploying machine learning operations within existing storage devices without requiring additional capital investment. The machine learning operations are designed to locate and evaluate various types of data to complete operations, including synthesizing missing data. These operations can be processed within a System on Chip (SoC) of a storage device as embedded software, allowing for efficient data management.
Career Highlights
Amit Chattopadhyay currently works at Western Digital Technologies, Inc., where he applies his expertise in machine learning to develop innovative storage solutions. His work has significantly impacted the efficiency and reliability of storage devices in the market.
Collaborations
Amit collaborates with talented professionals such as Jonathan Lloyd and Saket Giri, contributing to a dynamic team focused on advancing storage technology.
Conclusion
Amit Chattopadhyay's contributions to machine learning in storage devices exemplify the intersection of innovation and technology. His patents reflect a commitment to enhancing data management and reliability in modern storage solutions.