Rakesh Bhatia
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Notes from building production ML systems.

Practical lessons on NLP, classification, clustering, backend systems, and turning messy streams of information into useful intelligence.

Technical Note · October 4, 2026 · 5 min read

The First Problem in an NLP Pipeline: Deciding What Belongs

Before embeddings, clustering, or LLM analysis, a domain-specific intelligence system has to decide which documents deserve to enter the pipeline.

NLP · Classification · ML Systems · Information Filtering
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