Seattle, WA, United States of America

Alex Anto Chirayath

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alex Anto Chirayath. Retrieved from https://idiyas.com/inventor/alex-anto-chirayath

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 = 7.0

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Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Alex Anto Chirayath: Inventor in Machine Learning Data Management

Introduction

Alex Anto Chirayath is an inventor based in Seattle, Washington, and works at Amazon Technologies, Inc. His patent work focuses on managing data sets and taxonomies used to train and support machine learning applications. He is named on 2 patents.

Latest Patents

Chirayath’s recent patents address ways to organize data and labeling processes for machine learning.

“Machine Learning Data Set Management for Distribution to Machine Learning Applications” describes centralized management of data sets. The system can search managed data set labels, use matching data objects to generate a new data set, and make that data set available to machine learning applications.

“Taxonomy Management for Labeling Data for Training Machine Learning Models” concerns managing and reusing versions of data-labeling taxonomies. Rather than relying on manually maintained configuration files for each job, the approach allows a taxonomy to be registered, updated, and reused across different labeling scenarios, including chained jobs and continual-learning loops.

Career Highlights

At Amazon Technologies, Inc., Chirayath’s disclosed inventions address practical infrastructure for machine learning workflows. His patents describe approaches to making data sets easier to discover and distribute, and to making labeling taxonomies reusable across data-labeling jobs.

Collaborations

Chirayath’s listed coworkers include Jeremy Paul Michael Feltracco and Marcelo Aberle.

Conclusion

Alex Anto Chirayath’s patent work highlights data-set management and reusable labeling taxonomies as important components of machine learning systems.

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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