Tech Lead for AWS SageMaker Studio & RStudio on SageMaker* Led the initiative to offer fully-managed RStudio on SageMaker offering from prototype to release, including contributing heavily to product definition. Led joint software efforts across organizations and companies. * Leading cross-functional initiatives with other AWS and AWS AI teams, operating the service at AWS' high operational bar; guiding and mentoring SDEs.* Launched SageMaker Studio at AWS re:Invent 2019 which is a collaborative, scalable ML IDE in the cloud.* My team owns the underlying infrastructure platform for SageMaker Studio providing a enterprise-grade interactive application platform.* My teams also owns the notebook experience of SageMaker Studio that provides an elastic, pay-as-you-go, collaborative Jupyter/JupyterLab notebook experience ( https://aws.amazon.com/blogs/machine-learning/learn-how-to-select-ml-instances-on-the-fly-in-amazon-sagemaker-studio/)

Amazon SageMaker Notebooks & Jupyter OSSI was part of the team that launched Amazon SageMaker at AWS re:Invent 2017. My team built the Notebook component of SageMaker which provides a fully-managed Jupyter notebook service in the cloud. I pitched and led the formation of a pod team that would contribute to Jupyter/JupyterLab OSS of areas of strategic importance to AWS. As part of this OSS team, I * was the lead maintainer for jupyterlab-git extension during Q4 2018 - Q2 2019. Grew the extension feature base, testing standards, and customer adoption. Contributed features like notebook diffs.* Pitched and guided the development of the official jupyterlab-pullrequests extension for reviewing GitHub pull requests within JupyterLab* Co-wrote the RFC for Jupyter’s telemetry system with other Jupyter maintainers* Implemented JupyterLab’s telemetry library for front-end data collection.I led the development of several features on SageMaker Notebooks service including* Lifecycle configuration(https://aws.amazon.com/blogs/machine-learning/customize-your-amazon-sagemaker-notebook-instances-with-lifecycle-configurations-and-the-option-to-disable-internet-access/)* Git integration (https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-notebooks-now-support-git-integration-for-increased-persistence-collaboration-and-reproducibility/)* Redesigning internal components to improve build stability, times, and deployment velocity.