Keen Wang

• Evangelize and institutionalize AI-native engineering practices, including AI native development, vibe coding, and AI-first ways of working philosophy across the organization • Designe the enterprise AI infrastructure architecture, including an on-prem LLM inference framework and an AI Gateway for scalable LLM integration • Lead the design and build of the AI Engineering Framework, covering agent-centric UX patterns and development frameworks for Java, Python, and JavaScript • Architect and deliver the AI Engineering Platform and AI Tool Platform, including MCP services, AI coding agents, RAG platforms, toolchains, and agentic AI frameworks leveraging AI workflow and LangGraph-based execution • Design AI-native productivity platforms, including ChatMSL (enterprise AI agent hub with conversational and RAG capabilities) and an AI-Native digital workplace platform supporting meetings, documentation, notes, tasks, project workflows and collaboration.

• Architected and led the cloud-native modernization of the company’s Life Insurance core system, defining the target-state enterprise architecture and overseeing end-to-end implementation from strategy through execution • Designed a cloud-native, cloud-agnostic multi-cloud architecture, enabling workload portability and vendor neutrality across public clouds and on-premises environments • Delivered a highly available, multi-AZ Kubernetes platform, providing resilient, containerized runtime infrastructure with built-in fault tolerance and enterprise-grade reliability • Implemented end-to-end traffic governance leveraging load balancers and API gateways to ensure secure exposure, policy enforcement, and intelligent traffic routing across services • Established DevOps pipelines with progressive delivery capabilities, enabling user-segmented canary releases and controlled feature rollouts to reduce risk while accelerating innovation • Built an integrated observability and monitoring framework spanning multiple clouds and datacenters, delivering unified visibility across infrastructure, platforms, and business applications • Defined and implemented a unified cloud-native development framework and technology stack, standardizing engineering practices across the enterprise and accelerating application modernization and platform adoption

• Architected and implemented scalable Multi-Cloud Landing Zones across Azure, Alibaba Cloud, and hybrid datacenter environments to support secure, compliant, and standardized enterprise cloud adoption • Defined and operationalized a unified cross-cloud operating experience, aligning governance, observability, security, and deployment practices across teams and platforms • Drove DevOps modernization leveraging cloud-native technologies, accelerating release cycles while enhancing platform resiliency and operational efficiency

Manage a team to support the production system, including maintaining the network, OS, J2EE environment, database etc.. Make sure all of them are 24X7 functionable.

• Support EMC Clariion and VNX Storage product Line for global Customer. • As MOD(manager on duty) to coordinate Engineers from USA/EMEA to serve Chinese customer • Skilled user for EMC SANCopy/MirrorView/Clone • Have good knowledge of VMware vitualization/SAN and iSCSI Storage Network

• Oracle database 9i,10g,11g Administration and Performance Tuning. • Application Server(Oracle Application Server & Weblogic, Websphere) Administration and Performance Tuning. • Internal Application Deployment & J2EE Platform Troubleshooting cooperating with Project. • Involve in improving Deployment Flow and Documentation. • Customer On-site Support and troubleshooting (Oversea). • Maintenance utilities Developing in SQL/shell/jacl. • Involve in requirement consulting for Production system architecture of Customer. • Technical training on J2EE/Oracle Platform to Customer