永兴 吴

Led the implementation of an item selection A/B experiment framework and merged Hot & Prepare item data into grocery store catalogs. Designed a notification system for DD Open API Mx and led the migration of menu tooling to support NV menus transition to the new PKG architecture.

Led the design and development of an internal DynamoDB cost optimization tool and a data-driven optimization project that increased resource utilization from 31% to 35%, saving over $100M in CAPEX. Led the design and implementation of a forecast-driven capacity automation system.

Developed a multi-tenant time-series anomaly detection API within Azure Cognitive Services. Designed and implemented a real-time anomaly detection platform from 0 to 1, covering data ingestion, training, and inference pipelines.

Developed and maintained the Fantasy Westward Journey backend, ensuring stable server performance for millions of users.

Bachelor of Software Engineering degree from Harbin Institute of Technology from 2013 to 2017.

Exchange student in Computer Science and Information Engineering at National Chung Cheng University from February 2016 to July 2016.