Comparative Study on the Deployment of ML Models using Kubeflow

Explored and analyzed the process of creating Machine Learning pipelines on multiple public clouds on Kubernetes clusters using Kubeflow. Created an end-to-end image recognition model pipeline with an inference API and hosted a seminar on ML DevOps. Hosted a seminar on the intersection of ML with DevOps (MLOPS) for the Capstone.