Company Filing History:
Years Active: 2014-2017
Title: Shitalkumar S Sawant: Innovator in Machine Learning and Data Protection
Introduction
Shitalkumar S Sawant is a prominent inventor based in Fremont, CA (US). He has made significant contributions to the field of machine learning and data protection, holding a total of 5 patents. His work focuses on enhancing data loss prevention systems through innovative machine-learning techniques.
Latest Patents
One of his latest patents is titled "Confidence level threshold selection assistance for a data loss prevention system using machine learning." This invention utilizes machine-learning based detection (MLD) profiles to identify sensitive information in documents. The MLD profile generates a confidence value that indicates the likelihood of a document being classified as sensitive. The data loss prevention system can suggest a confidence level threshold to users, helping them distinguish between sensitive and non-sensitive data.
Another notable patent is "User interface and workflow for performing machine learning." In this invention, a computing device analyzes a training data set containing both positive and negative examples of sensitive data. By employing machine learning, the device generates an MLD profile that classifies new data as sensitive or non-sensitive. Additionally, it computes a quality metric for the MLD profile, enhancing the accuracy of data classification.
Career Highlights
Shitalkumar has worked with notable companies such as Symantec Corporation and CA, Inc. His experience in these organizations has allowed him to develop and refine his expertise in data protection and machine learning technologies.
Collaborations
Throughout his career, Shitalkumar has collaborated with talented individuals, including Phillip DiCorpo and Sally Kauffman. These partnerships have contributed to the advancement of his innovative projects and patents.
Conclusion
Shitalkumar S Sawant is a distinguished inventor whose work in machine learning and data protection has led to significant advancements in the field. His patents reflect his commitment to improving data loss prevention systems and enhancing the security of sensitive information.