This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2023.
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
Title: Sravya Sri Garapati: Innovator in Machine Learning Recommendations
Introduction
Sravya Sri Garapati is a talented inventor based in Andhra Pradesh, India. She has made significant contributions to the field of machine learning, particularly in developing systems and methods for scoring potential actions in recommendations. Her innovative approach has the potential to enhance user experiences across various applications.
Latest Patents
Sravya holds a patent titled "Scoring potential actions for machine learning based recommendations." This patent describes a method that involves training a machine learning model using a sequential database and retention data. The method identifies an action subsequence executed by a user and generates values indicating the probability of the user executing potential actions. It also includes a confidence score that assesses the likelihood of recommending these actions effectively.
Career Highlights
Sravya is currently employed at Intuit, Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work focuses on enhancing the capabilities of recommendation systems, making them more intuitive and user-friendly. With her background and skills, she is making a notable impact in her field.
Collaborations
Sravya collaborates with talented individuals such as Naveen Kumar Kaveti and Vignesh Thirukazhukundram Subrahmaniam. These collaborations foster a creative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Sravya Sri Garapati is a remarkable inventor whose work in machine learning is paving the way for more effective recommendation systems. Her contributions are valuable to the tech industry and demonstrate the importance of innovation in enhancing user experiences.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile