Artificial Intelligence Engineer
Current• Focused on developing AI-based tools to significantly enhance quality, productivity, and efficiency across key areas of the company.• Developed and optimized an internal Retrieval-Augmented Generation (RAG) tool, achieving over 90% across all RAGAS metrics and now supporting over 3000 active users globally. This tool led to a 30% productivity increase, with up to 50% efficiency gains on complex tasks, and was ultimately rolled out worldwide, generating annual savings of approximately $30 million.• Developed an advanced information retrieval pipeline for RAG, achieving exceptionally high recall to reliably capture and surface the most relevant documents, improving performance and reducing hallucinations in LLMs.