Summary
Long Nguyen-vu is a Senior AI Engineer based in Seoul with 11 years of experience building ML systems, cloud-native infrastructure, and secure production pipelines. At MoAdata he focuses on ML engineering and MLOps, drawing on a research background that includes a PhD and postdoctoral work on deepfake audio and mobile malware detection. He has published in top-tier journals such as Computers & Security and IEEE Access, translating academic insight into practical defenses for AI and cloud environments. Earlier roles include operating large Linux-based systems at VNG and long-term research stints at Soongsil University’s security and AI centers, where he bridged applied research and deployment. Known for combining rigorous evaluation with hands-on DevOps, he often surfaces subtle adversarial and security risks that typical ML teams overlook. His profile reflects a rare mix of academic depth and production-grade engineering across security-sensitive ML applications.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Information Technology, Doctor of Philosophy (PhD) Information Technology at Soongsil University
Bachelor of Applied Science (BASc) Computer Science, Bachelor of Applied Science (BASc) Computer Science at University of Information Technology
English, Vietnamese, Korean