Fei Zhang developed comprehensive documentation for the Triton inference model integration within the apache/flink repository, focusing on enhancing developer onboarding and support readiness. Leveraging expertise in Java, SQL, and data processing, Fei detailed usage scenarios, configuration options, and robust error handling strategies to guide both community and internal users. The documentation addressed the FLINK-38857 task, providing actionable guidance that reduces setup time and clarifies common pitfalls. By thoroughly documenting error cases and remediation steps, Fei improved the maintainability of the integration and ensured that developers could efficiently adopt and troubleshoot the Triton model within Flink’s machine learning workflows.