Developed a Proxmox KVM process identification enhancement for the sustainable-computing-io/kepler repository, focusing on improving the reliability of virtual machine process monitoring in Proxmox environments. The work involved updating regular expression patterns in Go to more accurately detect KVM VM processes and expanding the suite of backend tests to ensure robust identification and prevent future regressions. By increasing test coverage and refining detection logic, the enhancement enables more precise automation, alerting, and root-cause analysis for users managing KVM workloads. This targeted feature addressed a specific gap in process monitoring, contributing to more dependable deployment and maintenance workflows in backend systems.