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1、eBay RisksThree-Layer Agent Closed LoopFrom Engineering Efficiency to Business EvolutionEngineer Efficiency LayerAgentic Workflow LayerBusiness Efficiency LayerYaping Zhou eBay Mlops Engineering Agentic AICon 2026周亚平eBay MlOps Tech Lead毕业于上海交通大学,获硕士学位。现担任 eBay 支付风控模型工程团队 Tech Lead。致力于数据工程、模型工程(MLOps
2、)、智能化工作流调度平台与数据治理的系统研发,在风控场景下的数据+AI 工程化落地方面具备丰富的一线实践经验。主导自研 eBay 新一代工作流自助管理平台(BMS),现已成为 Payments&Risk、Compliance、Trust 等多部门数十个团队的标准化调度解决方案。主导模型批量推理和调优解决方案,风控数据治理平台研发;面向业务、分析团队的欺诈调查、数据分析、合规评审等多个场景的agent 平台和工具体系的研发,解决多年困扰各业务部门的分析决策问题。Todays Journey1Background&RequirementsThree challenges in eBay Risk
3、Engineering and why a three-layer architecture addresses them.2Agent-Based Engineering EfficiencyTool-layer automation:requirement analysis,UI scaffolding,contract-driven backend,test automation.3Agentic Workflow AutomationSynapse orchestration platform eliminating manual handoffs across risk system
4、s.4Agent-Based Business EfficiencyDomain Skill Library encoding expert knowledge into executable,auditable Skills at scale.5Summary&OutlookClosed-loop feedback,compounding gains,and the path to self-improving risk intelligence.PART 1Engineering-Dev1Agent-Based Engineering EfficiencyEngineering Dev L
5、ifecycle:Pain PointsRepeated alignment cycles in PM PD QE throughout the entire dev process high communication overhead1 UI DEVELOPMENT1Review Figma design mockup2PM alignment:style&interactionPM3Build React components4PM re-check cycle&reworkPMPAINHigh PM comm overhead frequent rework from requirem
6、ent drift2 BACKEND DEVELOPMENT1Design API contracts+data models2Implement business logic3Manual code review4QE handoff after review approvalPAINCode quality uneven manual CR inconsistent late defect discovery3 TESTING&RELEASE1Write test cases manually2Execute functional+regression3Fix bugs from QE f