How to Tell If a Model Is Good Enough
Learn why accuracy is a trap, and how precision and recall reveal what really matters when evaluating machine learning models.
Nearly three decades of building software across search engines, disease models, data platforms, and AI tools. Serious about cooking, cocktails, travel, and building games with my three kids. Still figuring out what comes next and building it anyway.
Learn why accuracy is a trap, and how precision and recall reveal what really matters when evaluating machine learning models.
An overview of how the attack surface has evolved in modern computing, and the ways computers and accounts get compromised today.
A grounded mental model for Retrieval-Augmented Generation, with two concrete examples and the tradeoffs that actually matter.
Built Gemini Code Assist at Google. Writing about what I learned building it.
Six years on Bing search at Microsoft. A patent. A lot of labeled data.
Currently building new tools. Making games with my three kids. Always something cooking.
Led teams at Google, Microsoft, Tableau, and T-Mobile. Hired and scaled engineering organizations.