Summary
Charlie Truong is an Engineering Manager and machine learning leader with 12 years of experience building full-stack and MLOps systems, now leading teams at NVIDIA after driving ML strategy and production LLM services at Workiva. He combines hands-on engineering—from Kubernetes, Terraform, and AWS SageMaker to frontend frameworks—with people management, hiring, and mentoring, regularly contributing code while shaping roadmaps. His background spans deploying Kubeflow/Argo/Metaflow, standing up secure data science environments, and migrating complex web apps, reflecting a rare cross-domain fluency. Earlier roles in analytics and pricing at Caterpillar honed his data-driven decision-making and operational rigor, and an MS in Computer Science from UIUC complements his practical, production-first approach. Notably, he has a track record of enabling broad team adoption of cloud-native tooling, upskilling dozens of analysts and engineers in the process.
12 years of coding experience
14 years of employment as a software developer
Web Development, Web Development at Dev Bootcamp
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Urbana-Champaign
Bachelor of Arts (B.A.) International Business, Bachelor of Arts (B.A.) International Business at Bradley University