Summary
Minh-tuan Nguyen is an AI engineer, researcher, and adjunct professor with eight years of experience building privacy-preserving and production-grade AI systems across government and enterprise. At Deloitte he led Privacy Enhancing Technologies R&D and GenAI multi-modal solutions, co-authoring research on confidential federated RAG and architecting a synthetic data platform for fraud detection that drove major automation cost savings. He teaches applied NLP at American University, translating advanced topics like linguistic structure and sentiment analysis into practical coursework. His background spans end-to-end ML systems—MLOps, CV SDKs, self-supervised anomaly detection, and GCP infra—paired with program-level impact winning multimillion-dollar engagements. A former program coordinator and team lead in legal academia, he blends technical depth with policy and operational experience, and outside work he’s a gamer, coder, and trader, reflecting a curiosity for systems, strategy, and risk.
8 years of coding experience