Mercer Island, WA, United States of America

Gang Jing


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Gang Jing - Innovator in Code Testing and Approval Systems

Introduction

Gang Jing is a notable inventor based in Mercer Island, WA (US). He has made significant contributions to the field of software development, particularly in the area of code testing and deployment. His innovative approach has led to the creation of a system that enhances the efficiency and reliability of code deployment in production environments.

Latest Patents

Gang Jing holds a patent for a system titled "Code testing and approval for deployment to production environment." This invention focuses on testing candidate code to determine its approval for deployment. The system includes a code testing engine that tests previously approved code against a testing server and multiple production servers. During deployment, the engine deploys candidate code to the testing server while the production servers run the approved code. Performance data is collected before and after deployment, and latency data sets are analyzed using statistical tests. If the tests yield passing results, the candidate code is approved for deployment.

Career Highlights

Gang Jing is currently employed at Amazon Technologies, Inc., where he continues to innovate and improve software deployment processes. His work has been instrumental in ensuring that code is thoroughly tested and reliable before it is deployed in production environments.

Collaborations

Gang Jing collaborates with talented professionals in his field, including John Baker and Ricardo Rodriguez Munoz. These collaborations enhance the development and implementation of innovative solutions in software testing and deployment.

Conclusion

Gang Jing's contributions to code testing and approval systems exemplify the importance of innovation in software development. His patent and work at Amazon Technologies, Inc. reflect a commitment to improving the efficiency and reliability of code deployment processes.

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