Tullie Murrell
tullie.ai
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Recommendation Systems
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Overview
Tullie Murrell builds recommendation, search, and personalization systems. Director of Engineering, Applied AI Research at Whatnot; founder of Shaped, acquired by Whatnot in 2026. Former Meta FAIR researcher; lead of PyTorchVideo and technical lead of the fastMRI team.
News
Spatial discovery for blogs: Building a latent space map
Most blog discovery is chronological, popular, or search-driven. I built a 2D latent space map of 85 posts to see whether spatial navigation could offer a better bird's-eye view of the corpus.
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Agent trajectories can improve AI answer rates by 38%
A new paper introduces LRAT, a framework that fine-tunes dense retrievers on agent trajectories instead of human clicks. We summarize how it works, why agent signals differ from human search, and what the reported gains mean for production agents.
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HNSW Explained: The Algorithm Powering Fast Vector Search
If you've set up a vector database recently, you've seen it. Somewhere in the configuration - maybe when creating an index in Pinecone, or scanning Weaviate's schema options, or reading Qdrant's collection settings - there were the four letters HNSW. You
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Why grep Is Beating Your Vector DB
Keyword retrieval keeps winning in production for reasons that have little to do with benchmark leaderboard scores. This post explains when grep beats vectors, and why.
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How to Build Netflix's Personalized Homepage: The Attribute Ranking Playbook
Learn how to build a fully personalized homepage like Netflix - where the rows themselves are personalized, not just the content inside them - using attribute ranking to surface the best genres per user, AI Views to generate micro-genres, and ShapedQL sco
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