My Learnings
Learning in public, one note at a time.
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Data Operations Architecture at Scale
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Building a Multimodal Feature Store for Product Quality Risk: A Data-First Journey
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Batch, Streaming, and Merged Views in ML Data Operations
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Machine Learning System Design: A Comprehensive Guide to Data-Centric Feature Stores
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Explaining the Multimodal Lakehouse in Interviews
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Training-Ready Multimodal Data: Shards and Loaders
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From Search Demo to Data Infrastructure
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Eval Feedback Loops for Multimodal Dataset Versions
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What Comes Next for the Multimodal Lakehouse
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Ray Actors, Catalog Trust Boundaries, and Pipeline Battle Scars
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