Built AI Agent applications from solution design and tool orchestration to full-stack integration, turning model capabilities into closed-loop business workflows.

• Led practical implementation of conversational Agents, tool calling, and RAG workflows across business scenarios, covering requirement analysis, execution-chain design, API implementation, and user interaction.
• Built an engineering foundation for Agent applications, including task execution, streaming responses, exception handling, audit logs, and observability.
• Coordinated frontend, backend, and runtime environments to move intelligent capabilities from demos toward deployable, traceable, and continuously iterative systems.
• Balanced stability, maintainability, and explainability across complex task flows to improve delivery quality and operational control.

Participated in container platform development and cloud-native capability building, supporting application containerization, platformization, and standardized delivery.

• Contributed to container platform capabilities that supported migration from traditional deployment models to container-based delivery.
• Worked with Kubernetes and Docker to support service deployment, configuration management, and runtime standards.
• Built practical experience in cloud-native architecture, service operations, and platform engineering, forming a foundation for later AI application delivery.

Worked deeply in semiconductor-related manufacturing scenarios, building quality management, production yield monitoring, and analytics platforms from zero to one to support production improvement and management decisions.

• Led the zero-to-one delivery of QMS, from requirement analysis and process abstraction to system implementation, helping quality management move toward process-driven and data-driven operations.
• Led the zero-to-one delivery of RTM for production yield monitoring, building visual and traceable loops around production anomalies, yield fluctuation, and key manufacturing indicators.
• Supported production yield ramp-up through system capabilities and data analysis, helping manufacturing teams locate issues, improve processes, and coordinate decisions.
• Built a big data analytics platform for manufacturing data, consolidating quality data, production data, and analysis capabilities for broader cross-team usage.
• Collaborated with production, quality, process, and engineering stakeholders over multiple years, translating complex manufacturing needs into maintainable systems and iterative delivery plans.