This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Justin Bougher: Innovator in Virtual Warehouse Analysis
Introduction
Justin Bougher is an accomplished inventor based in Boston, MA. He has made significant contributions to the field of machine learning and warehouse management through his innovative patent. His work focuses on enhancing the efficiency of virtual warehouse configurations, which is crucial for modern data management.
Latest Patents
Justin holds a patent for a "Virtual warehouse analysis and configuration planning system." This invention describes methods, systems, and apparatuses for using machine learning to simulate changes to virtual warehouse configurations without needing access to data stored by corresponding virtual warehouses. The computing device involved in this system can receive performance metrics from various virtual warehouses and generate a trained machine learning model to predict performance metrics based on different configurations. This predictive capability allows for informed decision-making regarding operating parameters, ultimately optimizing warehouse performance.
Career Highlights
Justin is currently employed at Capital One Services, LLC, where he applies his expertise in machine learning and data analysis. His role involves developing innovative solutions that enhance operational efficiency and improve customer experiences. With a focus on technology and innovation, Justin has established himself as a key player in his field.
Collaborations
Some of Justin's notable coworkers include Rahul Syal and Tyler Fearns. Their collaborative efforts contribute to the advancement of technology within their organization, fostering an environment of innovation and creativity.
Conclusion
Justin Bougher is a notable inventor whose work in virtual warehouse analysis exemplifies the intersection of technology and efficiency. His contributions are paving the way for advancements in machine learning applications within the logistics and data management sectors.
