AI Agent & RAG Engine Developer (AI Data Labeling / Training)
Developed and maintained autonomous AI agents that leverage local LLMs to generate SQL queries from business text inputs. Led the design of a Document-to-Knowledge retrieval engine focused on high-accuracy semantic search and metadata extraction across various document types. Engineered prompt pipelines for LLM-powered automated text analysis and data verification at enterprise scale. • Implemented highly accurate metadata labeling and extraction workflows leveraging prompt engineering. • Evaluated and refined AI model output for semantic retrieval using local LLM stacks. • Automated production of SQL queries from text prompts to streamline enterprise data analysis. • Orchestrated large-scale, LLM-driven data pipelines for business and technical stakeholders.