Quan
Bui
Research Scientist · AI Infrastructure Engineer
I do NLP research and embed with teams to ship production AI — RAG pipelines, agent orchestration, and cloud-native infrastructure that holds up at scale.
Enterprise AI · AWS
RAG System for Organization
Designed cost-effective RAG system using Aurora and OpenSearch Serverless, replacing expensive Kendra to achieve 40% cost reduction while maintaining performance.
Trade-off: managed Kendra vs. self-hosted retrieval → chose Aurora + OpenSearch for 40% lower cost at equal performance.
Dr. Quan Bui
PhD · JAIST · Japan
Six years of doctoral research at JAIST in natural language processing and legal AI — four-time COLIEE champion, ten-plus papers, and still publishing. Research is not a past chapter.
In parallel, I architect production AI systems — the kind that have to answer "can we do this at scale, reliably, for thousands of users?" RAG pipelines, agent orchestration, LLM integrations, and cloud-native ML platforms on AWS.
I write about what I build. The blog covers RAG architectures, agent observability, context engineering, multi-agent orchestration, and production AI deployment on multiple cloud platforms.