Yajing Zhao is a Software Engineer with experience at AutoX since 2021 and Inceptio since 2020. At AutoX, they are a Software Engineer. At Inceptio, they were a Software Engineer responsible for developing and maintaining a service for engineers and scientists to train their models across multiple machines and GPUs, as well as designing, developing and maintaining a service for hyper parameter tuning using PBT and Grid Search algorithms. Yajing also setup and maintained Gitlab CI/CD for the above services to build, test and deploy automatically. As a Software Engineer Intern at Inceptio, they worked at the machine learning infrastructure team as a DevOps intern, using a technical stack including Kubernetes, Docker, Micro services, Distributed system, gRPC, Argo workflow, CI/CD, Unit test, and Protobuf.
Yajing Zhao received a Bachelor's degree in Management Information Systems, General from Huaqiao University in 2013. Yajing then went on to receive a Master of Science in Applied Mathematics from Brigham Young University in 2020.
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