Hi, I'm
Archana Kalburgi
Data engineer with a graduate background in machine learning. This is where I share the fun projects I build outside of work.
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Evaluating metadata classification for a retrieval pipeline
Retrieval was tuned, so I measured the next stage: how reliably a local model labels each document. Across input windows, more than half the document types stayed wrong, and the chunking setting turned out to be quietly controlling what the classifier could see.
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Evaluating metadata classification
Retrieval is tuned. The limiting factor now is metadata classification — the local model that labels each document is wrong more often than it's right. Here's the problem in detail, and how I plan to measure and improve it.
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Evaluating document chunking for retrieval pipeline
How I evaluated the chunking layer of FindFiles by sweeping chunk size, overlap, and splitting strategy against a labeled set of 53 real government forms, on-device.