yang song

* Assessing the factuality and relevance of domain-specific text produced by AI models * Evaluating and ranking domain-specific responses generated by AI models

* Integrated Jenkins with Elastic Stack to automatically collect build logs from the CI/CD pipeline, sent the logs to Elasticsearch, and analyzed them in Kibana. * Responsible for reviewing code changes, merging pull requests, and ensuring code quality before deployment. Developed and maintained automation scripts for deployment and monitoring, while also writing and updating documentation for systems, processes, and workflows.

* By combining path planning algorithms, real-time data monitoring, cluster analysis and other technologies in data science, planed a test route covering as many brands of charging piles as possible. * Led the planning and establishment of a data center for automotive in Europe. Coordinated resources from all parties to promote the overall implementation progress of the project’s technical plan. * Familiar with mainstream cloud products, relational databases, Hadoop, and load balancing.

*Study AI for test, new strategy of software test *Analysis Web Services software system Log Data (with Hadoop, Map Reduce, Python and NoSQL technologies) * Automatic testing with Jenkins * Familiarity with CI/CD and Git *Experience in Machine Learning, Artificial Intelligence, programming skills (preferably python), knowledge of AI frameworks like TensorFlow, PyTorch, Keras *Served as a reviewer for SCI journal IEEE ACCESS, PLOS ONE

Use JMeter/LoadRunner/SoapUI to process testing, analyze and measure the performance of services.

*test tools development, integrate performance testing tools into automated test system on Linux, running performances testing of CPU, OS, Server, and Java.

Analyze test results and work with software developers to troubleshoot issues, raise quality awareness project managers and developers

Implement test cases based on requirements, features, manual test cases or directly from the existing functionality