Case study · active
AI-Powered Financial Intelligence
Azure OpenAI-powered financial extraction and enrichment
Integrated LLM-assisted workflows for extracting structured information from financial PDFs and spreadsheets, enriching company information and supporting qualitative financial analysis. Worked on prompt variants and evaluation to improve reliability of AI-assisted application features.
- Role
- Backend Engineer (Valutico via RedMath)
- System
- Python / FastAPI / Azure OpenAI / LLMs / PDF / Excel
- Focus
- Financial document extraction · Company enrichment · Prompt evaluation
Overview
AI-assisted financial intelligence workflows integrating Azure OpenAI into backend services for financial document and company information processing.
My contribution
Worked on structured extraction from financial PDFs and Excel files, company enrichment, qualitative analysis and evaluation of prompt variants.
Technology
Python, FastAPI, Azure OpenAI, LLMs, PDF, Excel