Company Filing History:
Years Active: 2024
Title: Innovations of Sriharsha Venkata Chintalapati
Introduction
Sriharsha Venkata Chintalapati is an accomplished inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of machine learning, particularly in the area of label generation. His innovative approach has the potential to enhance the efficiency of unsupervised learning systems.
Latest Patents
Sriharsha holds a patent for "Machine Learning Label Generation." This patent describes techniques for performing centralized unsupervised learning in a multi-domain system. A user may request labeled data for a machine learning task, which includes a prompt for obtaining relevant explicit user feedback. The system utilizes this prompt to collect explicit user feedback for relevant runtime user inputs. After a specified duration has elapsed, the system assesses whether the collected user feedback indicates that the processing of the user input was defective. If defects are identified, the system determines the cause of the defective processing. Subsequently, it employs one or more label generators to create labeled data based on the collected user feedback, regardless of whether the processing was defective and the determined defect cause.
Career Highlights
Sriharsha is currently employed at Amazon Technologies, Inc., where he continues to innovate and contribute to advancements in machine learning technologies. His work is instrumental in developing systems that improve the accuracy and reliability of machine learning applications.
Collaborations
He collaborates with talented individuals such as Ruhi Sarikaya and Zheng Du, who are also part of the innovative team at Amazon Technologies, Inc. Their combined expertise fosters a creative environment that drives technological advancements.
Conclusion
Sriharsha Venkata Chintalapati is a notable inventor whose work in machine learning label generation showcases his commitment to innovation. His contributions are paving the way for more effective machine learning systems, and his collaboration with skilled professionals further enhances the impact of his work.