Hamel Husain’s Blog

Notes on applied AI engineering, machine learning, and data science.

I’m a machine learning engineer with over 20 years of experience. I’ve worked at Airbnb and GitHub, including early LLM research used by OpenAI for code understanding. I’ve also led and contributed to popular open-source machine-learning tools.

I’m currently working to bring data science back to AI: helping teams debug, analyze, and measure their systems. I call this “evals,” and it’s the focus of my teaching, consulting, and writing.

💼 Work With Me

I co-teach AI Evals for Engineers and PMs, with over 3,000 students from 500+ companies (including OpenAI, Anthropic, and Google). Check the page for upcoming cohorts.

If you need more hands-on help, I’m open to consulting and advisory work. You can find more information here.

📮 Blog

I often share my experience building AI products. Below is a selection of my long-form writing.

Date	Title
1/18/26	Why I Stopped Using nbdev
1/15/26	LLM Evals: Everything You Need to Know
10/1/25	Selecting The Right AI Evals Tool
7/11/25	Stop Saying RAG Is Dead
6/23/25	Inspect AI, An OSS Python Library For LLM Evals
3/24/25	A Field Guide to Rapidly Improving AI Products
1/19/25	Thoughts On A Month With Devin
12/13/24	nbsanity - Share Notebooks as Polished Web Pages in Seconds
11/30/24	Building an Audience Through Technical Writing: Strategies and Mistakes
10/29/24	Using LLM-as-a-Judge For Evaluation: A Complete Guide
10/10/24	Concurrency Foundations For FastHTML
7/29/24	An Open Course on LLMs, Led by Practitioners
6/1/24	What We’ve Learned From A Year of Building with LLMs
4/12/24	Debugging AI With Adversarial Validation
3/29/24	Your AI Product Needs Evals
3/27/24	Is Fine-Tuning Still Valuable?
2/14/24	Fuck You, Show Me The Prompt.
1/11/24	How To Debug Axolotl
1/9/24	Dokku: my favorite personal serverless platform
12/17/23	Tokenization Gotchas
11/15/23	Tools for curating LLM Data
10/28/23	vLLM & Large Models
10/15/23	Optimizing LLM latency
5/30/23	On commercializing nbdev
1/16/23	Why Should ML Engineers Learn Kubernetes?
7/28/22	nbdev + Quarto: A new secret weapon for productivity
2/9/22	Notebooks in production with Metaflow
12/18/20	ghapi, a new third-party Python client for the GitHub API
11/20/20	Nbdev: A literate programming environment that democratizes software engineering best practices
9/1/20	fastcore: An Underrated Python Library
9/1/20	Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes
3/6/20	GitHub Actions: Providing Data Scientists With New Superpowers.
2/21/20	Introducing fastpages, An easy to use blogging platform with extra features for Jupyter Notebooks.
2/5/20	Python Concurrency: The Tricky Bits
9/20/19	CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
4/10/19	How to Automate Tasks on GitHub With Machine Learning for Fun and Profit
5/29/18	How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning
1/18/18	How To Create Magical Data Products Using Sequence-to-Sequence Models
12/16/17	How Docker Can Help You Become A More Effective Data Scientist
5/10/17	Automated Machine Learning — A Paradigm Shift That Accelerates Data Scientist Productivity @ Airbnb

📬 Follow Me

The best way to follow my activity is X (Twitter).