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👋 Hi, I'm Eugene Yan

I design, build, and operate machine learning systems that serve customers at scale. Currently, I'm an Applied Scientist at Amazon helping users read more, and get more out of reading. Outside of work, I also...

  • 📝 Write & speak about effective data science, data/ML systems, and career growth.
  • 🧠 Teach a free email course to help data scientists be more effective.
  • 📌 Curate papers, guides, and interviews on how to apply machine learning.
  • 📬 Send a newsletter about data science, learning, and career.
  • 🌱 I'm learning: Bandits & counterfactual evaluation, design patterns, and Julia.
  • 😅 Fun fact: I don't use the QWERTY keyboard (I use Dvorak instead).

📝 Recent Writing

View the archives (147 posts) @

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Popular repositories

  1. 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

    20.2k 2.8k

  2. 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

    1.9k 223

  3. 📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

    270 40

  4. 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

    Python 133 30

  5. 📌 Papers, guides, and mentor interviews on applying machine learning for—the ghost knowledge of machine learning.

    JavaScript 124 19

  6. 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

    Jupyter Notebook 116 26

512 contributions in the last year

Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Mon Wed Fri

Contribution activity

July 2022

Created 2 commits in 1 repository
Opened 2 pull requests in 1 repository
8 contributions in private repositories Jul 2 – Jul 3

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