Summary
Yu Fu is a Senior Machine Learning Engineer with nine years of experience building end-to-end AI services and production-grade MLOps across finance and startup environments. He blends full-stack skills—ETL, model development, FastAPI backends, React frontends, CI/CD and containerized deployments on-prem and in GCP—to move projects from prototype to robust production. At Pepperstone he led a small AI team to standardize release management and incident recovery, winning an internal AI hack selected for a design sprint, and now continues shaping generative-AI tooling at Leonardo.Ai. Comfortable in collaborative, test-build-learn cycles, he emphasizes observability, reproducible pipelines and knowledge sharing to reduce operational risk. His background spans applied research, policy-focused graduate study, and hands-on product delivery, giving him a rare mix of technical depth and stakeholder-facing communication. Known for turning messy data into reliable pipelines, he regularly drives pragmatic engineering choices that accelerate model impact.
9 years of coding experience
10 years of employment as a software developer
BA Political Science, BA Political Science at Fudan University
Master of Science (M.S.), Public Policy and Management, Master of Science (M.S.), Public Policy and Management at Carnegie Mellon University
Master of Data Science, Information Technology, Master of Data Science, Information Technology at Monash University