Anie George

Background

About Anie George

AI Solutions Analyst passionate about building intelligent systems that combine semantic understanding, retrieval-augmented generation (RAG), and graph-based knowledge.At Cogniswitch, I work at the intersection of prompt engineering, LLM evaluation, and agent design to optimize chatbot workflows for real-world deployment. I’ve improved triple generation accuracy to 97%, boosted retrieval precision by over 20%, and reduced development cycles by building reusable prompt libraries.Previously at E2Open, I explored deep learning techniques (CNN, RNN, BiLSTM-CRF) to streamline enterprise workflows like invoice automation and ticket triage. I hold a Master’s in Data Science (Health) with Distinction from Durham University, where I was awarded the prestigious British Council Women in STEM Scholarship. My thesis used predictive modeling to identify teenage pregnancy risk factors in West Africa. I'm currently diving deeper into multi-agent systems, memory optimization, and serverless orchestration using Bedrock and Crew AI. Actively seeking opportunities where I can apply my skills in building scalable, socially impactful AI solutions—especially in education, healthcare, or gov-tech spaces.