Summary
Brian Nguyen is an AI/ML engineer with nine years of experience building production-grade machine learning systems, now focusing on AI/ML at AWS after a progressive engineering leadership track at Capital One. He has deep hands-on expertise in NLP microservices, embedding pipelines, and DAG-orchestrated ML workflows that power search, retrieval, and risk modeling across large-scale financial datasets. At Capital One he led efforts to productionize transaction graph embeddings and contributed to research presented at KDD and ICML, blending research rigor with cloud-native engineering. A Penn State Computational Data Science graduate, he pairs data engineering roots with model development and MLOps, often shipping containerized components via CLI and Python SDKs. Known for bridging applied research and production reliability, he brings a strong track record of translating novel embeddings and ensemble models into measurable business impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Computational Data Science, Bachelor of Science (B.S.) Computational Data Science at Penn State University
English, Vietnamese, Spanish