This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Pulumi Corporation. 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: Innovations of Aaron Michael Friel
Introduction
Aaron Michael Friel is an accomplished inventor based in Oakland, CA (US). He has made significant contributions to the field of artificial intelligence and cloud computing. His innovative work focuses on enhancing the configuration of computing infrastructure through advanced machine learning techniques.
Latest Patents
Friel holds a patent for an "Artificial intelligence based configuration of computing infrastructure on cloud platforms." This system receives natural language requests for configuring computing infrastructure using a cloud platform. It executes a machine learning-based language model to generate infrastructure-as-code (IaC) to configure the cloud platform to achieve the desired computing infrastructure. The system displays the generated IaC via a user interface as an example for users. Additionally, it sends instructions to the cloud platform to provision the computing infrastructure according to the IaC. The system continuously checks whether the desired infrastructure is deployed and reconfigures it if necessary.
Career Highlights
Friel is currently employed at Pulumi Corporation, where he applies his expertise in cloud computing and artificial intelligence. His work at Pulumi focuses on developing innovative solutions that streamline cloud infrastructure management.
Collaborations
Some of his notable coworkers include Lucas James Hoban and John Joseph Duffy. Their collaborative efforts contribute to the advancement of technology in their field.
Conclusion
Aaron Michael Friel is a pioneering inventor whose work in artificial intelligence and cloud computing is shaping the future of technology. His contributions, particularly in the area of infrastructure configuration, demonstrate the potential of machine learning in enhancing cloud services.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile