Location History:
- Bengaluru, IN (2019 - 2021)
- Santa Clara, CA (US) (2022)
Company Filing History:
Years Active: 2019-2022
Title: Manali Sharma: Innovator in Data Storage Technologies
Introduction
Manali Sharma is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of data storage technologies, holding a total of 5 patents. Her innovative work focuses on integrating machine learning with data storage solutions, paving the way for advanced data processing techniques.
Latest Patents
One of her latest patents is the Deep Solid State Device (deep-SSD), which is a neural network-based persistent data storage system. This apparatus includes a host interface circuit that receives memory access requests associated with data sets. It also features a non-volatile memory storage circuit that creates and stores transformed data sets. The translation circuit, which comprises machine learning components, converts original data sets into transformed versions during write access and reconstructs them during read access.
Another notable patent involves in-storage-based data processing using machine learning. This programmable data storage device processes images through an embedded processor that identifies luminance and chrominance data. The processor retrieves machine learning models stored within the device to make predictions about the images based on the identified data, enhancing the efficiency of image processing.
Career Highlights
Manali Sharma is currently employed at Samsung Electronics Co., Ltd., where she continues to innovate in the realm of data storage technologies. Her work has garnered attention for its potential applications in various industries, particularly in enhancing data management and retrieval processes.
Collaborations
She collaborates with talented professionals in her field, including Anil Agiwal and Young-Bin Chang. These partnerships contribute to the advancement of her projects and the overall innovation landscape at Samsung.
Conclusion
Manali Sharma's contributions to data storage technologies exemplify the intersection of innovation and practical application. Her patents reflect a commitment to advancing the capabilities of data processing through machine learning. Her work continues to inspire future developments in the field.