AI Architect/Developer – Retrieval-Augmented Generation (RAG) and LLM Evaluation
Directed the design, development, and operation of a retrieval-augmented, LLM-integrated AI learning platform. Implemented evaluation mechanisms for LLM recall, precision, and system stability tailored to production AI models. Championed the iterative improvement of LLM retrieval logic and continuous assessment of AI-generated text quality. • Built evaluation workflows for recall and precision measurement. • Led continuous improvement and QA cycles with feedback loops. • Developed containerized environments for robust data flows in training. • Prioritized performance benchmarks and ongoing model retraining.