Hi everyone, I’m Hariom Nagar, a B.Tech student in AI & Data Science at IIIT Ranchi. I’m interested in the “Metaflow CI/CD: Kubernetes Integration Testing with GitHub Actions” project for GSoC 2026. I have experience with Python, Docker, and CI/CD pipelines, and I’ve worked on building and deploying ML systems. I’ve started exploring the Metaflow Dev Stack and understanding how Runner and Deployer APIs can be used for automated testing. I’m planning to implement a prototype GitHub Actions workflow using Kind to simulate a Kubernetes environment and would love to get feedback on whether this approach aligns well with the project goals. Any guidance on where to start or specific areas to focus on would be really helpful.