Niila Siilasjoki developed a foundational MLOps deployment for the Softala-MLOPS/oss-mlops-platform repository, focusing on integrating Kubeflow and KServe to streamline end-to-end machine learning workflows. He created reusable Kubernetes manifests and YAML configuration files, enabling one-click deployment and standardized setup across environments. By addressing Kubeflow Pipelines integration issues, Niila improved platform stability and reproducibility. His work included comprehensive documentation to support onboarding and developer productivity, ensuring that deployment processes are both scalable and repeatable. Throughout the project, he demonstrated expertise in cloud computing, DevOps practices, and Kubernetes, delivering a robust foundation for collaborative open-source MLOps development.