Your team is working on creating a machine learning (ML) solution in Google Cloud to classify support requests for one of your company's platforms. After analyzing the project requirements, you have chosen TensorFlow to build the classifier because it allows for full control over the model's code, serving, and deployment. To manage the ML lifecycle, you will be using Kubeflow pipelines. Additionally, to save time, you prefer to leverage existing resources and managed services rather than developing a completely new model from scratch. How should you proceed with building the classifier?