Michael Edwards

Title: Michael Edwards and Reproducible Data Transformations

Introduction

Michael Edwards is an inventor based in Arlington, Virginia, whose patent work addresses consistent data processing across different computing environments. His invention focuses on reusing the same transformation logic for both historical data and streaming events used in machine-learning workflows.

Latest Patents

Edwards is associated with 1 patent: “Systems and Methods for Implementing Data Transformations in Multiple Execution Contexts.” The patent describes a system for applying reproducible data transformations in contexts such as batch processing and streaming. Transformation logic can first process historical raw data to create derived data for training a machine-learning model. After deployment, that same logic can transform streaming events into data suitable for model scoring and later model refitting.

Career Highlights

Edwards works at Capital One Services, LLC. His patent reflects an approach to maintaining consistency between the data used to train a model and the data processed after the model is deployed.

Collaborations

Lindsay Sturm is identified as Edwards’s coworker. The available information does not specify their roles in the patent or whether they collaborated on its development.

Conclusion

Michael Edwards’s patent centers on reusing data-transformation logic across machine-learning training, deployment, and refitting, supporting more consistent data processing in multiple execution contexts.