Venkatesh Coimbatore Ravichandran

Title: Venkatesh Coimbatore Ravichandran: Innovator in Document Extraction and Anomaly Detection

Introduction

Venkatesh Coimbatore Ravichandran is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the fields of machine learning and document processing. With a total of 3 patents, his work focuses on enhancing the efficiency and accuracy of automated systems.

Latest Patents

One of his latest patents is titled "Metamodeling for confidence prediction in machine learning based document extraction." This invention describes a document extraction system that utilizes both manual and automated processes. The system intelligently routes tasks based on predicted probabilities, ensuring that documents likely to be processed accurately by automated systems are prioritized. This innovation aims to increase document processing speed while maintaining a baseline level of accuracy.

Another significant patent is "Web service usage anomaly detection and prevention." This patent outlines techniques for identifying and mitigating anomalies in web service usage. The system forecasts resource instances required for web services over a specified time period. After the period, it compares the actual resource usage to the forecasted values to detect any anomalies. The invention also assesses the impact of these anomalies and provides indications of their occurrence.

Career Highlights

Venkatesh currently works at Intuit, Inc., where he applies his expertise in developing innovative solutions. His work at Intuit has allowed him to contribute to advancements in technology that enhance user experiences and operational efficiencies.

Collaborations

Some of his notable coworkers include Terrence J Torres and Karen Kraemer Lowe. Their collaborative efforts have likely contributed to the successful development of various projects within the company.

Conclusion

Venkatesh Coimbatore Ravichandran is a distinguished inventor whose work in document extraction and anomaly detection has made a significant impact in the tech industry. His innovative patents reflect his commitment to improving automated systems and enhancing accuracy in processing.