Kemal worked on the hashicorp/nomad-autoscaler repository, delivering a feature that filters warm pool activities from AWS Auto Scaling Group readiness checks to improve scaling accuracy. He implemented this logic in Go, leveraging AWS SDK integrations and focusing on backend development best practices. By introducing targeted unit and integration tests, Kemal ensured the new filtering mechanism reliably distinguishes between active and warm pool instances, reducing false readiness signals that previously led to inconsistent scaling decisions. His work demonstrated a solid understanding of Go-based plugin architecture and test-driven development, resulting in a more stable and predictable autoscaling process for the project.