Lindsay Sturm

Title: Lindsay Sturm: Inventor Advancing Consistent Data Transformations.

Introduction

Lindsay Sturm is an inventor based in Seattle, Washington. His work includes a patented approach to applying consistent data transformations across different computing contexts, supporting machine-learning workflows from model training through deployment.

Latest Patents

Sturm is associated with 1 patent, titled “Systems and Methods for Implementing Data Transformations in Multiple Execution Contexts.” The invention describes reusing the same transformation logic on historical data for model training and on streaming event data for model scoring. This approach is intended to make transformations reproducible and consistent across batch and streaming environments, including when a model is later refit.

Career Highlights

Sturm is associated with Capital One Services, LLC. His patent focuses on a practical challenge in machine learning: ensuring that data prepared for training is transformed consistently with data processed after a model is deployed.

Collaborations

Sturm’s coworker, Michael Edwards, is also identified in the information provided. The available details do not specify their roles or the nature of their collaboration on the patent.

Conclusion

Lindsay Sturm’s patent addresses consistency in data transformations across machine-learning training and deployment, reflecting an innovation relevant to reliable data processing.