Yi-Hong Wang is a software developer with the Watson AI and Data Open Technology at the IBM Silicon Valley Lab, where he actively works on Kubeflow, Node.js, and Tensorflow.js communities. He has been successfully delivering several Kubeflow releases to IBM Kubernetes Service. He is leading the Intermediate Representation adoption in Kubeflow Pipelines with Tekton project and helping the community to be able to run ML workflow in different frameworks. He is also an IoT enthusiast and loves to enable machine learning on edge devices. Combining his knowledge of open sources and interests, he'd like to facilitate other developers running machine learning use cases on their target devices.