Deduplicate near-identical documents in a huge corpus. Implement MinHash for fast similarity.
Comparing all pairs across a million documents is a trillion comparisons. MinHash estimates Jaccard similarity from a tiny signature, and LSH converts dedup into a near-linear scan. Here is the implementation.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Comparing all pairs across a million documents is a trillion comparisons. MinHash estimates Jaccard similarity from a tiny signature, and LSH converts dedup into a near-linear scan. Here is the implementation.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
