This inventor holds 1 USPTO granted patent. Top assignee: Humana Inc.. 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: Andrew Mcpherron and Cloud-Based Data Pipeline Innovation.
Introduction
Andrew Mcpherron is an inventor associated with Louisville, Kentucky, and Humana Inc. His patent work addresses cloud-based deployment and execution of modular data pipelines.
Latest Patents
The provided information lists one patent for Mcpherron: “Cloud Platform Based Architecture for Continuous Deployment and Execution of Modular Data Pipelines.” The invention describes a system that receives a data-pipeline specification and divides it into smaller specifications for individual pipeline units. It identifies a target cloud platform, generates a deployment package for each unit, and provisions the required computing infrastructure through a connection to that platform.
The patent also describes organizing a pipeline as a data mesh, represented by a directed acyclic graph whose nodes correspond to pipeline units. This structure allows different portions of the mesh to be modified independently and enables partial results to be recomputed from different points in time. Mcpherron is credited with 1 patent in the information provided.
Career Highlights
Mcpherron’s listed invention focuses on making data-pipeline deployment modular and adaptable to cloud environments. The approach separates pipeline units so that they can be packaged and provisioned individually, supporting independent changes across a larger data mesh. The supplied information identifies Humana Inc. as his company affiliation.
Collaborations
The available details do not identify specific co-inventors, research partners, or other collaborators. Humana Inc. is the company associated with Mcpherron in the provided information.
Conclusion
Andrew Mcpherron’s listed patent presents a modular approach to deploying and operating data pipelines on cloud platforms, with a data-mesh structure designed to support independent updates and recomputation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
