This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Optum, Inc.. Active years: 2023-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2024
Title: Anudeep Srivatsav Appe: Innovator in Machine Learning and Natural Language Processing
Introduction
Anudeep Srivatsav Appe is a notable inventor based in Warangal, India. He has made significant contributions to the field of machine learning, particularly in natural language processing. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of natural language solutions.
Latest Patents
Anudeep's latest patents include innovative techniques for natural language processing using predictive entity scoring. This invention addresses the growing need for more accurate and efficient natural language solutions with greater semantic intelligence. The method involves determining an overall prevalence score for input entity data with respect to a scored document corpus and a target section. It also includes determining a qualified prevalence score for the input entity data object based on a high-scoring subset of the scored document corpus. Furthermore, the process utilizes an entity scoring machine learning model to generate a predicted entity score, which is characterized by multiple hyper-parameters. This invention aims to perform prediction-based actions based on the predicted entity score.
Career Highlights
Anudeep currently works at Optum, Inc., where he applies his expertise in machine learning and natural language processing. His innovative approach has positioned him as a valuable asset in his field.
Collaborations
Some of Anudeep's coworkers include Eric D Tryon and Sudheer Ponnala, who contribute to the collaborative environment that fosters innovation and creativity.
Conclusion
Anudeep Srivatsav Appe is a prominent figure in the realm of machine learning and natural language processing. His patents reflect a commitment to advancing technology and improving the efficiency of natural language solutions. His work continues to inspire and pave the way for future innovations in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
