This inventor holds 1 USPTO granted patent. Top assignee: Capital One Services, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sinan Gul and Reproducible Data Transformations
Introduction
Sinan Gul is an inventor based in New York, New York. His patent work addresses a challenge in machine learning: applying consistent data transformations across different execution contexts, including batch processing and streaming.
Latest Patents
Gul 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 to process historical raw data for model training and streaming event data for model scoring. It also supports applying consistent transformations when a model is later refit.
Career Highlights
Gul works at Capital One Services, LLC. His patent reflects an approach to making data preparation more reproducible and consistent throughout machine-learning workflows, from training through deployment and subsequent model updates.
Collaborations
The provided information identifies Michael Edwards and Lindsay Sturm as Gul’s coworkers. Their specific roles in the patent or related work are not stated.
Conclusion
Sinan Gul’s patent focuses on reusing data-transformation logic across training, streaming, and model-refitting contexts, supporting consistency in machine-learning systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile