Karthik Sundaresan Gurumoorthy

Title: Innovations of Karthik Sundaresan Gurumoorthy

Introduction

Karthik Sundaresan Gurumoorthy is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in predictive systems and causal effect estimation. With two patents to his name, Karthik is recognized for his innovative approaches to complex problems.

Latest Patents

Karthik's latest patents include "Scalable product influence prediction using feature smoothing" and "Accurately estimating causal effects for related events." The first patent discloses systems and methods to implement an item metric prediction system that predicts a metric for an item using a feature-based model built from similar items. This system predicts item influence values (IIVs) that indicate the expected amount of subsequent transactions caused by an initial transaction. The method involves distributing a sample of item transaction data to multiple task nodes that work in parallel to determine the observed IIVs. A new IIV is then calculated for items with low confidence levels by tuning a feature-based model to fit the observed IIVs of similar items. The second patent focuses on accurately estimating causal effects for related events. It describes methods and systems for determining a plurality of estimates of causal effects independently. A subset of these estimates is evaluated to ensure they satisfy a specific relationship, and accurate estimates are generated through a smoothing process.

Career Highlights

Karthik currently works at Amazon Technologies, Inc., where he applies his expertise in predictive modeling and data analysis. His work contributes to the development of advanced technologies that enhance user experiences and operational efficiencies.

Collaborations

Karthik collaborates with talented individuals such as Vineet Shashikant Chaoji and Pranav Garg, who share his passion for innovation and technology.

Conclusion

Karthik Sundaresan Gurumoorthy is a notable inventor whose work in predictive systems and causal effect estimation has the potential to impact various industries. His contributions at Amazon Technologies, Inc. and his innovative patents reflect his commitment to advancing technology.