AI Solutions Consultant (RAG Document Pipeline) — BCG
DocumentQuestion Answering
Developed and maintained a semantic retrieval-augmented generation (RAG) system for parsing and extracting structured information from unstructured financial documents. Applied confidence scoring and hallucination detection to ensure the factual accuracy of machine-extracted insights from lengthy 10-K/10-Q filings. Produced detailed technical documentation and operator playbooks to support ongoing consultant data interaction and validation. • Utilized OpenAI APIs and internal data pipelines for annotation and review
• Handled citation tracking on financial reports
• Optimized multi-stage extraction for 95%+ factual accuracy
• Delivered production-ready tool to consulting team
Developed and maintained a semantic retrieval-augmented generation (RAG) system for parsing and extracting structured information from unstructured financial documents. Applied confidence scoring and hallucination detection to ensure the factual accuracy of machine-extracted insights from lengthy 10-K/10-Q filings. Produced detailed technical documentation and operator playbooks to support ongoing consultant data interaction and validation. • Utilized OpenAI APIs and internal data pipelines for annotation and review • Handled citation tracking on financial reports • Optimized multi-stage extraction for 95%+ factual accuracy • Delivered production-ready tool to consulting team
2025 - 2025