hroughout my career and academic tenure, I have consistently bridge the gap between complex research and practical application. Most recently, I developed a lightweight RAG system using Elasticsearch and OpenAI-compatible LLMs, where I designed chunk-level indexing and built a Flask API for high-performance vector similarity ranking. This project required not only advanced algorithm development but also a focus on scalability through Docker and HelmchartsMore...