Summary
Catherine Wang is an AI engineering leader with 11+ years’ experience shaping GenAI and enterprise ML strategies across APAC, currently serving as Interim AI Engineer Manager for Google Cloud in SEA. She partners with C-suite and senior leaders to translate complex business problems into scalable GenAI architectures and has secured multi-million dollar, multi-year engagements by combining deep NLP/LLM expertise with pragmatic cloud engineering across Google Cloud and Azure. Previously a Cloud Solutions Architect at Microsoft and Data Science lead at KPMG, she blends hands-on MLOps, personalization, and responsible AI practice with a strong statistical foundation from Stanford, MITx and Swinburne. Known for mentoring technical teams and driving time-to-value through prototypes, she also brings cross-disciplinary curiosity—drawing on neuroscience and physics—to invent novel approaches to AI problems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Computer Science , Computer Science, Bachelor of Computer Science , Computer Science at Monash University
MicroMaster of Statistics and Data Science, Mathematical Statistics and Probability, Machine Learning, Deep Learning, MicroMaster of Statistics and Data Science, Mathematical Statistics and Probability, Machine Learning, Deep Learning at MITx Courses
Graduate Diploma of Science (Applied Statistics), Mathematical Statistics and Probability, Bayesian Statistics, Statistical Consulting, Graduate Diploma of Science (Applied Statistics), Mathematical Statistics and Probability, Bayesian Statistics, Statistical Consulting at Swinburne University of Technology
Graducate Certificate of Artificial Intelligent , Artificial Intelligence, Graducate Certificate of Artificial Intelligent , Artificial Intelligence at Stanford University