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Enterprise LLM Architecture for Smart R&D Workflows
"Driven by the need for intelligent R&D digitization, I designed and developed an LLM-powered document intelligence and ELN automation system. The platform ingests, extracts, and cleans unstructured data via a robust python-docx pipeline. At its core is a custom-finetuned Large Language Model backed by an iterative 'Output-to-Revision' dataset optimization loop. The architecture deploys model capabilities through specialized endpoints: an automated ELN2Word module that dynamically converts lab notebook records into structured reports, and an autonomous WebUI that delivers high-quality PDF/Word/Text translations coupled with real-time output quality scoring. This project bridges advanced generative AI with day-to-day pharmaceutical and biochemical research documentation."