Document processing automation at SCIRIS.
An automated document pipeline built to retrieve files, extract text, identify context with LLM support, and update structured records with minimal manual handling.
Reduce manual extraction and database entry work.
Designed the end-to-end ingestion and update workflow.
Python, pandas, Azure Document Intelligence, Azure OpenAI.
About 37 seconds per project with more than 80% effort reduction.