👩🏻‍💻 Learn 🔄 Do 🔄 Teach 👩🏻‍🏫

My personal mandate: ⭐️ Develop ML platforms & MLOps systems that work, no matter the business or technology constraints; ⭐️ Contribute to the open-source MLOps ecosystem & continue to drive innovation; ⭐️ Create high-quality & thoughtful content that helps everyone in production ML become more productive, collaborative, & happier.

As an MLOp practitioner & educator I do this by:
✅ Hacking projects using best-of-breed tools & practices from software engineering, DevOps, data engineering, & machine learning using open-source & public cloud (GCP, AWS); ✅ Consulting with startups & enterprises (at all levels of Data & ML maturity) developing production ML pipeline, systems, & tooling; ✅ Writing books, videos, courses, & workshops to teach MLOps best practices & architectures; ✅ Growing communities & facilitating dialogue through my youtube, substack, twitter, & twitch platforms.

I've lead & executed key Data Science & MLOps initiatives at Mailchimp (Intuit), Teladoc, WalkMe, Autodesk, and Sunrun☀️ and partnered on content with companies like Nvidia, Bright Data, & HP.

I've also mentored at bootcamps (Springboard & Data Science Dream Job) & spoken at a number of conferences & career panels (Lesbians Who Tech 🏳️🌈, General Assembly, etc) on breaking into data science & machine learning.

In my free time I love doing CrossFit 🏋🏻, designing & making clothes & shoes 👟, boxing 🥊 , and spending time with my family & friends. Newest hobby also includes amateur birding. 🦅 🔭