team

Meet the team

There is a growing team that maintains and builds the assets you find on this site. Keep an eye on the GitHub Careers page if you are interested in working with us.

David Aronchick

@aronchick

David Aronchick

About Me

I lead Open Source Machine Learning Strategy at Azure. This means I spend most of my time helping humans to convince machines to be smarter. I am only moderately successful at this. Previously, I led product management for Kubernetes on behalf of Google, launched Google Kubernetes Engine, and co-founded the Kubeflow project. I have also worked at Amazon and Chef and co-founded three startups.

My Mission

I believe, above all, that we have a responsibility to the future and that we must help technology be beneficial to humanity. We have seen technology do some amazing things. But, we’ve also seen technology misused, misapplied, or just plain broken. Technology is NOT neutral; we must actively use it for good.

My Favorite Tools

I use Chrome almost constantly during the day (armed with LastPass), with VS Code and OneNote for random notes. Outlook Web Acces and Gmail with Gmail key bindings are critical for processing mail quickly. For development, I use Kubeflow with Docker (for local development), Kubernetes (for cloud) and Draft with a Jupyter notebook, and VS Code for this as well.

You can find more information about me on my page.

Hamel Husain

@hamelsmu

Hamel Husain

About Me

I am currently a Staff Machine Learning Engineer at GitHub. Previously, I was a machine learning engineer at Airbnb and DataRobot. Prior to that, I was a management consultant.

Recently, I led the development of fastpages with the fastai community. I also led GitHub’s CodeSearchNet project, and am a contributor to Kubeflow.

Throughout my history as a data scientist, I have been most frustrated by the lack of tools and infrastructure for machine learning. This led me to develop a keen interest in creating tools that can mimize toil for data scientists.

You can find more information on my other projects and interests on my page.

Favorite tools

Bash Scripting, VSCode, Python, Jupyter, Keras, Altair, fastai, pytorch, Docker, DataRobot, GitHub Actions, GitHub Pages.

Marvin Buss

@marvinbuss

Marvin Buss

About Me

I am an Azure Customer Engineer at Microsoft focused on Data, Machine Learning & Data Science. I enjoy working with customers to make the process of deploying Machine Learning and data products easier while keepings things secure. You can learn more about my professional history here.

Over the past few months, I have been working on GitHub Actions for Azure Machine Learning to automatically train and deploy models from GitHub on Azure.

I love working with the Big Data and Machine Learning platforms and GitHub Actions.

Michał Jastrzębski

@inc0

Michał Jastrzębski

About Me

I am currently a Staff Data Engineer at GitHub. Prior to GitHub, I was the technical lead of the OpenStack Kolla project and a Senior Cloud Software Engineer at Intel.

I am an open source fanatic and an enthusiast of all things cloud.

Rimas Silkaitis

@neovintage

Rimas Silkaitis

About Me

I’m a Senior Director of Product Management at GitHub, where I currently focus on data products and systems. Prior to GitHub, I was leading product for Heroku’s data services.

You can learn more about my professional history here.

Taylor Holland

@T-Holland

Taylor Holland

About Me

I am currently a Director of Data Science at GitHub, where I lead Analytics, Decision & Data Science, Machine Learning, and Machine Learning Infrastructure. Prior to GitHub, I was leading infrastructure optimization at Heroku.

You can learn more about my professional history here.

Zander

@awmatheson

Zander

About Me

Currently I am a Senior Data Scientist at GitHub and prior to that I was a Senior Data Analyst at Heroku. You can learn more about my professional history here.

Over the last couple years I have transitioned to building internal tooling and infrastructure for Data Scientists and Machine Learning Engineers. I love this space because of the impact that we can have on the efficacy of Data Science and Machine Learning teams. The prospect of building tooling that will allow data scientists to more effectively use GitHub to get their work done is extremely exciting.

I love working with the Python ecosystem, Kubernetes, GitHub Actions, Jupyter and massively parallel computing for Data Warehousing and Analytics.