Savio Stephen Dsouza

Title: Savio Stephen Dsouza and Graph-Based ETL Code Generation.

Introduction

Savio Stephen Dsouza is an inventor based in Long Island City, New York. His patent work concerns using generative machine learning to help create Extract Transform Load (ETL) code from natural-language descriptions.

Latest Patents

Dsouza is associated with 1 patent, titled “Mechanisms for Scaling Extract Transform Load Code Generation.” The invention describes receiving a natural-language request for ETL code and generating a graph representation of the requested workflow. The graph contains nodes for obtaining data from sources, transforming data, and storing results in destinations, with connections that reflect the described operations. A generative machine-learning model can help identify those operations and construct the graph, which is then used to provide a response through an interface.

Career Highlights

Dsouza is associated with Amazon Technologies, Inc. His patent reflects work on applying generative machine learning and graph-based representations to ETL code generation.

Collaborations

Dsouza’s listed coworker is Venkata Narasimha Vishal Narasimha Kajjam. The available information identifies this professional association but does not specify their roles in the patent.

Conclusion

Savio Stephen Dsouza’s patent focuses on translating natural-language ETL requests into graph-based workflows, connecting machine-learning assistance with data integration tasks.