Prajwal Chandrashekaraiah

Title: Prajwal Chandrashekaraiah and Data Entity Matching

Introduction

Prajwal Chandrashekaraiah is an inventor based in Bengaluru, India. His patent work includes a system for automatically identifying when two data entities match.

Latest Patents

Chandrashekaraiah is associated with 1 patent, titled “Systems and Methods for Matching Data Entities.” The invention receives a request to determine whether two data entities match, then represents each entity as a sequence of demarcated attributes. A trained classification model compares the entities and generates a similarity score that accounts for interactions between their features. The model is trained on annotated pairs of data entities, with its weights determined using a customizable loss function. If the score exceeds a predetermined threshold, the system indicates that the entities match.

Career Highlights

Chandrashekaraiah is associated with Walmart Apollo, LLC. His patent reflects work on applying trained classification models to data matching.

Collaborations

The provided information names Deep Narain Singh and Suresh Visvanathan as Chandrashekaraiah’s coworkers.

Conclusion

Prajwal Chandrashekaraiah’s patent describes a machine-learning approach to matching data entities, combining structured attributes, feature interactions, and a customizable training process.