Automated Content Processing Pipeline
End-to-end document transformation pipeline — structured ingestion, parallel processing, and automated output generation.
~40%
Fewer inconsistencies
Parallel
Processing architecture
Docker
Containerised deploy
Problem
Unstructured document content (PPT/PDF) needed to be transformed into structured, consistent formats at scale. Manual processing was slow, inconsistent, and didn't scale beyond a small number of documents.
Approach
Designed a stateless FastAPI backend with async parallel processing to handle multiple documents simultaneously. Implemented layout-aware chunking to preserve semantic structure across long documents, with CI/CD via GitHub Actions.
Outcome
Reduced data inconsistencies in automated outputs by ~40%. Pipeline handles concurrent document processing with consistent throughput, fully containerised with Docker for reproducible deployments.
Data Pipeline
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