Louisville, KY, United States of America

Erin Elizabeth Byerly

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Erin Elizabeth Byerly. Retrieved from https://idiyas.com/inventor/erin-elizabeth-byerly

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Erin Elizabeth Byerly: Innovating AI-Assisted Video Editing.

Introduction

Erin Elizabeth Byerly is an inventor associated with Louisville, Kentucky, and Atlassian US, Inc. Her work includes an invention that applies generative AI to refine video transcripts and automate video editing.

Latest Patents

Byerly is named on 1 patent: “Iterative Generative AI-Assisted Video Editing System and Method.” The invention describes a system that creates a transcript from a recorded video and refines it through multiple rounds of instructions to a large language model. These iterative steps are designed to remove disfluencies and other unwanted text while limiting additions that were not present in the original transcript. The system then uses the refined transcript to generate video-editing instructions and produce an updated video.

Career Highlights

Byerly’s patented work focuses on combining large language models with a structured, iterative editing process. The approach connects transcript refinement with video-editing instructions, offering a method for streamlining parts of video post-production.

Collaborations

Byerly is associated with Atlassian US, Inc. Her listed coworkers include Victoria Tien Yu Chi and Avanika Krishnaswamy.

Conclusion

Erin Elizabeth Byerly’s patent presents an AI-assisted approach to video editing that uses repeated transcript refinement to guide edits while helping preserve the content of the original recording.

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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