Ming is a senior Machine Learning & AI Engineer with extensive industry experience and a Ph.D. in Machine Learning, delivering large-scale, production-grade AI systems across SaaS, LegalTech, Construction, FinTech, and PropTech. Specializes in end-to-end ML lifecycle development — from data ingestion and model training to deployment, monitoring, and multi-agent LLM orchestration. Expert in designing scalable recommendation system and Retrieval-Augmented Generation (RAG) platforms, agentic AI workflows, and deep learning pipelines that translate complex business requirements into high-impact production systems. Proven track record deploying cloud-native ML solutions on AWS, Azure, and GCP, with strong emphasis on reliability, performance, and measurable business outcomes.

Interests/hobbies: Basketball, running, history and travelling.