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

• Write & speak about data/ML systems and techniques, writing, and career growth.
• Teach a free email course to help data scientists grow and be more effective.
• Curate papers, guides, and interviews on how to apply machine learning.
• Send a newsletter on machine learning, data science, and what I'm learning.

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• 22 May 2022  ·  What I Wish I Knew About Onboarding Effectively

• 08 May 2022  ·  Bandits for Recommender Systems

• 17 Apr 2022  ·  How to Measure and Mitigate Position Bias

• 10 Apr 2022  ·  Counterfactual Evaluation for Recommendation Systems

• 20 Mar 2022  ·  Traversing High-Level Intent and Low-Level Requirements

• 13 Feb 2022  ·  Red Flags to Look Out for When Joining a Data Team

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

• 27 Jun 2021  ·  System Design for Recommendations and Search

• 25 Apr 2021  ·  Search - Query Matching via Lexical, Graph, and Embedding Methods

• 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

• 26 Jul 2020  ·  Georgia Tech's OMSCS FAQ (based on my experience)

• 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%

Browse 145 posts or start here

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• 📚

  applied-ml: Papers on real-world machine learning

• 📋

  ml-surveys: Papers summarizing machine learning advances

• 📌

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

• 📄

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

• 🔍

  testing-ml: Example tests for machine learning systems

• 🐍

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

• 🛒

  recsys-nlp-graph: Simple Recsys and experiment results

• 🧪

  papermill-mlflow: Experimentation workflow for machine learning

• 🎓

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

• 🧬

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