Seattle, WA, United States of America

Alice Aizawa

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alice Aizawa. Retrieved from https://idiyas.com/inventor/alice-aizawa

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Alice Aizawa: Cloud-Based Machine Learning Invention

Introduction

Alice Aizawa is an inventor based in Seattle, Washington, and is associated with Amazon Technologies, Inc. Her patent work addresses secure ways to host and experiment with machine learning models in a cloud provider network.

Latest Patents

Aizawa is named on 1 patent: “Secure Multi-Model Hosting and Experimentation in a Cloud Provider Network.” The invention describes receiving a request to perform an action involving one of several machine learning models and consistently assigning the user to an experience in an experiment. A data plane component can then send a model request containing a path value associated with that experience to a private connectivity endpoint. The endpoint securely routes the request into another virtual private cloud, without sending it over the public internet, where path-based routing directs it to the model that provides the selected experience.

Career Highlights

The patent reflects work on cloud infrastructure that supports secure access to multiple machine learning models and controlled experimentation. Its approach combines consistent user assignment, private connectivity, and path-based routing.

Collaborations

The supplied information identifies Karthik Ravindra Rao and Sai Srinivas Somarouthu as Aizawa’s coworkers. They are also associated with the patent’s technical context.

Conclusion

Alice Aizawa’s patent highlights an approach to secure, private, and experience-aware machine learning model hosting in a cloud provider network.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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