San Bruno, CA, United States of America

Jiajie Chen

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiajie Chen. Retrieved from https://idiyas.com/inventor/jiajie-chen

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Jiajie Chen: Innovator in Machine Learning Benchmarking

Introduction

Jiajie Chen is a notable inventor based in San Bruno, California. He has made significant contributions to the field of machine learning, particularly in the area of benchmarking models. His innovative approach has the potential to enhance the performance and efficiency of machine learning algorithms.

Latest Patents

Jiajie Chen holds a patent titled "Benchmarking machine learning models via performance feedback." This patent describes techniques for benchmarking a machine learning model or algorithm. The method includes generating an execution plan for benchmarking tasks corresponding to a machine learning model based on identified training data and objectives. It also involves receiving execution statistics about the task's performance and updating the execution plan based on these statistics. This innovative approach aims to improve the accuracy and reliability of machine learning models.

Career Highlights

Jiajie Chen is currently employed at Amazon Technologies, Inc., where he continues to work on advancing machine learning technologies. His expertise in this field has positioned him as a valuable asset to his team and the company.

Collaborations

Throughout his career, Jiajie has collaborated with talented individuals such as Sandeep Krishnamurthy and Jonathan Esterhazy. These collaborations have fostered an environment of innovation and creativity, leading to advancements in machine learning.

Conclusion

Jiajie Chen's contributions to machine learning benchmarking demonstrate his commitment to innovation and excellence in technology. His work not only enhances the performance of machine learning models but also sets a foundation for future advancements in the field.

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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