This inventor holds 1 USPTO granted patent. Top assignee: Dell & Products L.p.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Sharada Desai in Machine Learning
Introduction
Sharada Desai is an accomplished inventor based in Bengaluru, India. She has made significant contributions to the field of information technology through her innovative work in machine learning. Her expertise has led to the development of a patented technology that enhances the reliability of IT assets.
Latest Patents
Sharada holds a patent for a groundbreaking invention titled "Machine-learning based prediction of defect-prone components of information technology assets." This apparatus utilizes a processing device to determine specifications for an IT asset and employs machine learning models to identify defect-prone specifications. The invention establishes a mapping between identified defect-prone specifications and the components of the IT asset, allowing for modifications in development processes to mitigate potential defects. This patent showcases her ability to integrate advanced technology with practical applications in IT development.
Career Highlights
Sharada Desai is currently employed at Dell Products L.P., where she continues to innovate and contribute to the field of technology. Her work has not only advanced the capabilities of IT assets but has also set a precedent for future developments in machine learning applications.
Collaborations
Throughout her career, Sharada has collaborated with talented professionals such as Abhishek Mishra and Vivek Bhargava. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Sharada Desai's contributions to machine learning and information technology exemplify the impact of innovative thinking in modern development. Her patented technology is a testament to her expertise and dedication to improving IT asset reliability.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile