I design, build, and operate machine learning systems that serve customers at scale. Currently, I'm a Senior Applied Scientist at Amazon. Outside of work, I also...

• Write & speak about machine learning systems, engineering, and career.
• Curate papers, guides, and interviews on applying machine learning effectively.
• Host monthly meetups (and after-parties!) on machine learning in industry.
• Send a newsletter on data, ML, and what I'm learning to 4,300+ subscribers.

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• 05 Feb 2023  ·  Mechanisms for Effective Technical Teams

• 22 Jan 2023  ·  Mechanisms for Effective Machine Learning Projects

• 15 Jan 2023  ·  Goodbye Roam Research, Hello Obsidian

• 08 Jan 2023  ·  What To Do If Dependency Teams Can’t Help

• 24 Dec 2022  ·  2022 in Review & 2023 Goals

• 31 Jul 2022  ·  Uncommon Uses of Python in Commonly Used Libraries

• 12 Jun 2022  ·  Design Patterns in Machine Learning Code and Systems

• 19 Sep 2021  ·  The First Rule of Machine Learning: Start without Machine Learning

• 27 Jun 2021  ·  System Design for Recommendations and Search

• 21 Feb 2021  ·  Feature Stores: A Hierarchy of Needs

• 10 Jan 2021  ·  Real-time Machine Learning For Recommendations

• 09 Aug 2020  ·  Unpopular Opinion: Data Scientists Should be More End-to-End

• 05 Apr 2020  ·  Stop Taking Regular Notes; Use a Zettelkasten Instead

• 26 Jan 2019  ·  Data Science and Agile (What Works, and What Doesn't)

• 02 May 2021  ·  The Metagame of Applying Machine Learning

• 28 Feb 2021  ·  How to Write Better with The Why, What, How Framework

• 22 Nov 2020  ·  What Machine Learning Can Teach Us About Life - 7 Lessons

• 09 Jul 2020  ·  The 85% Rule: When Giving It Your 100% Gets You Less than 85%

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  applied-ml: Papers on real-world machine learning

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  ml-surveys: Papers summarizing machine learning advances

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  applyingml: Papers, guides, and interviews on how to apply ML effectively

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  ml-design-docs: Template of design docs for machine learning systems

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  testing-ml: Example tests for machine learning systems

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  python-collab-template: Template with tests, type checks, linting, etc.

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  recsys-nlp-graph: Simple Recsys and experiment results

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  papermill-mlflow: Experimentation workflow for machine learning

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  1-on-1s: Questions to ask during 1-on-1s, from my time as a manager

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  omscs-faq: Georgia Tech Online Master's of Science in Computer Science

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  teardowns: Surveys & deep dives of data/machine learning systems