A 12-week internship which developed functional integration test and implemented 4 features in the team of YouTube data serving.• Analyzed job type flow distributions and bring up canonical job flows for the project design.• Drafted the design document of the Lineage Integration Test.• Developed functional integration test framework from scratch using ITS, which is a 0-to-1 work inside the team.• Integrated 2 binary component and 1 server component as system under test for the functional integration test.•Completed 4 features of the Lineage project: added child table and implemented table read/write; applied fieldmask to customize returned results; list upstream data flow relationships; honor user to customize depths of searching.

A 12 weeks’ full-stack intern in Workforce Engagement Management team of Service Cloud. Contributed to 2 features (aggregation engine and time zone support), 2 bugs fixed (filter personal data for security purpose), and 2 QA(frontend and backend) in 10 weeks.• Updated data model to support different time intervals base on the design of new aggregation engine.• Integrated time zone support in the data container to include daylight saving time globally for aggregationcalculation.• Exposed APIs to handle missing data objects with new logics and insert existing data objects on need basis.• Created and executed test plans of unit tests, E2E manual tests and performance tests.

Responsible for E2E test automation of GUI used for tuning and debugging of power supply devices’ voltage regulations. • Developed test plans and test scripts of 3 device tuning and debugging tools.• Created APIs to validate elements rendering, test elements’ functionalities and device data write-read consistency.• Reduced E2E tests running time from 25 mins to 13 mins by rewriting tests with new logics.• Increased E2E tests coverage from to 13.63% to 63.63%.

•Leading lab activities, answering questions and grading homework for the course of Data Structures and Algorithms.

•Applied SQL and JMP as analytics tools for SPC (statistical process control) and root cause analysis;•Reduced yield loss from 11.23% to 2.67% for laser chip cleaving.