This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Unitedhealth Group Incorporated. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Raghvendra Kumar Yadav: Innovator in Machine Learning Technologies
Introduction
Raghvendra Kumar Yadav is a notable inventor based in Uttar Pradesh, India. He has made significant contributions to the field of machine learning, particularly in developing systems and methods for predicting similarity scores for input sequences. His innovative work has the potential to enhance various applications in data analysis and artificial intelligence.
Latest Patents
Raghvendra Kumar Yadav holds a patent for "Machine learning techniques for determining predicted similarity scores for input sequences." This patent describes systems and methods for dynamically generating a predicted similarity score for a pair of input sequences. The predicted similarity score is determined based on several factors, including token-level similarity probability scores, target region match indications, fuzzy match scores, character-level match scores, and harmonic mean scores. This invention represents a significant advancement in the field of machine learning.
Career Highlights
Raghvendra Kumar Yadav is currently employed at UnitedHealth Group Incorporated, where he applies his expertise in machine learning to improve healthcare solutions. His work focuses on leveraging technology to enhance patient care and streamline processes within the healthcare industry.
Collaborations
Raghvendra has collaborated with talented professionals such as Edward Sverdlin and Subhodeep Dey. These collaborations have allowed him to work on innovative projects that push the boundaries of technology and improve outcomes in various fields.
Conclusion
Raghvendra Kumar Yadav is a pioneering inventor whose work in machine learning is making a significant impact. His contributions to predicting similarity scores for input sequences demonstrate his commitment to advancing technology and improving applications in data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
