Worked on enhancing the Auto-injection Testing Framework within the DataDog/system-tests repository, focusing on enforcing workload selection policy compliance and improving command instrumentation accuracy during auto-injection processes. Leveraged Python and DevOps automation skills to implement compliance checks in SSI auto-injection tests, ensuring that workload selection policies were properly validated and reducing the risk of instrumentation drift. Collaborated in a peer-reviewed environment to strengthen the reliability of end-to-end system tests, contributing to code quality and traceability. The work emphasized robust testing practices and automation, resulting in more dependable test workflows and improved policy validation for complex distributed systems.