YouTube Ecommerce Team

• Conducted daily and monthly transaction and revenue recognition services for all YouTube products, processing 6 million transactions per day.

• Generated customized payout reports for client teams, partner companies, and content creators.

• Identified key performance metrics and trends, providing actionable insights to drive revenue growth.

• Provided robust access control services to secure YouTube assets for users, ensuring data integrity and privacy.

GCP Serverless Cost, Performance and Revenue Team

• Measure, improve and protect the performance, reliability of the Serverless Managed Dataplane: CloudRun, App-Engine, CloudFunction.

• Tracked costs, revenue and contributed to efforts to improve those metrics. Passed savings on to Customers.

• Designed and implemented testing infrastructure based on Java/MySql which speeds up the efficiency of product verification.

• Utilized Logstash to extract and filter camera module logs, pushed key information into ElasticSearch, visualized with Kibana and generated email alerts.

• Implemented and optimized API and scripts to standardize design/verification flow and improve efficiency for camera chip development.

• Built a micro-service on top of manufacturing software framework to allow smart sampling strategy on quality control pipeline, streamlined the factory operational process and increase the throughput.

• Ternary Content Addressable Memory (TCAM): utilizing 12-stage pipeline that allowed CPU and two inner modules to read, write or search the memory simultaneously.

• TUNNEL (submodule of Operation Administration and Maintenance [OAM]) adding the function of analyzing, layering and recombining specific protocols, which assisted OAM to check link condition of network.

• MPI (Multi-Point Interface): saved half of Data bus width by utilizing 16 bits for both Address and Data buses, supporting 32 wide data reading or writing for 24M Address.