This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Red Hat, 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: Marcelo Amaral and Verifiable MLOps
Introduction
Marcelo Amaral is an inventor associated with Tokyo, Japan. His patent work addresses ways to make machine-learning model development and deployment more verifiable.
Latest Patents
Amaral is associated with 1 patent, titled “Verifiable MLOps to Train ML Models on Autonomous Environments.” The invention describes providing a first machine-learning model to a collaboration platform and receiving a second model that is based on it. The system tests the second model against criteria corresponding to the first model to determine whether it is valid, then publishes it to a repository if it passes those tests.
Career Highlights
Amaral works at Red Hat, Inc. His patent reflects an approach to validating machine-learning models developed through collaborative workflows before making them available in a repository.
Collaborations
Chen Wang is identified as Amaral’s coworker. The patent description also features a collaboration platform through which a model can be submitted for testing and potential publication.
Conclusion
Marcelo Amaral’s patent focuses on verifiable model development, using defined criteria to validate a collaboratively developed machine-learning model before publication.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile