This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Hewlett Packard Enterprise Development LP. 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: Lance Mackimmie Evans: Patent Work in Machine Learning Pipeline Performance
Introduction
Lance Mackimmie Evans is an inventor based in Longmont, Colorado. His patent work includes a system for improving data access in machine learning pipelines.
Latest Patents
The provided information lists one patent associated with Evans: “Machine learning pipeline performance acceleration with optimized data access interfaces using in-memory and distributed store.” The patent describes systems and methods that select data access interfaces for machine-learning operations based on performance metrics. These interfaces include persistent storage distributed across multiple storage nodes and an in-memory object store. After receiving a data operation request from a compute node, the system evaluates the available interfaces and selects one suited to the operation, then provides an object handle to the compute node. Evans is credited with 1 patent.
Career Highlights
Evans is associated with Hewlett Packard Enterprise Development LP. His patent focuses on optimizing how machine-learning pipelines access data across distributed and in-memory storage.
Collaborations
The provided information names Sridhar Balachandriah and Satish Kumar Mopur as Evans’s coworkers. Their inclusion here reflects the supplied coworker information and does not establish their roles in the patent.
Conclusion
Lance Mackimmie Evans’s listed patent addresses machine-learning pipeline performance by selecting data access interfaces according to operation type and measured performance.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
