1. Lead the team to build model-based audience-targeting service from scratch.2. Lead the team to build relevance model for ads targeting and performance optimization.3. Contribute to long-term AI/model infrastructures building.company trends. Design effective feature roadmaps and guide the team to deliver features.

1. Lead the team to build model-based audience-targeting service from scratch.2. Lead the team to build relevance model for ads targeting and performance optimization.3. Contribute to long-term AI/model infrastructures building.company trends. Design effective feature roadmaps and guide the team to deliver features.

1. Design and build end-to-end real-time recommendation architecture to boost business performance.2. Unify real-time data processing and dashboard displaying solution, enhance the efficiency of algorithm iteration.3. Responsible for the algorithm engineering team, big data, AI infrastructure, algorithm engineering.4. Construct Algorithm platform and recommendation engine.

R&D of Serverless platform, focus on management and scheduling ofresources and tasks, improve the utilization rate of resources.

1. Core contributor to TPP platform (The Personalization Platform, Serverless Architecture, 3M+ Peek QPS, 30K+ Machines, CPU usage 50%+), built core foundations like configuration sync system and task scheduling system.2. R&D of distributed real-time data computing and query system to boost business.3. Java backend application development, build Sea platform to support recommendation scenarios and campaign scenarios in Alibaba.