Summary
Rizwan Mian is a lead GenAI and Azure Solutions Architect with 12+ years of experience building production-grade AI, analytics, and cloud systems for healthcare, finance, insurance and telco clients. He designs agentic pipelines and RAG-enabled architectures—most recently automating a 70k‑email order pipeline with Azure OpenAI, Copilot Studio agents and Document Intelligence—while rigorously applying Azure Well‑Architected principles and automated validation. A PhD in Cloud Computing and a Stanford ML credential underpin his work, which blends hands‑on coding (Azure Functions, Semantic Kernel, Databricks) with enterprise governance, MLOps and cost optimization (he’s cut storage spend up to 85%). Entrepreneurial by nature, he founded budgetnow.ca and jobAi and pairs research‑grade thinking with pragmatic, self‑learning pipelines that reduce human review through adaptive feedback loops. Public footprints include ~25 references, numerous cloud certifications and active GitHub projects that demonstrate both breadth and delivery at scale.
12 years of coding experience
6 years of employment as a software developer
Computer Science (Grid Systems), Masters, Computer Science (Grid Systems), Masters at The University of Manchester
PhD, Computer Science (Processing large data sets in Cloud Computing), PhD, Computer Science (Processing large data sets in Cloud Computing) at Queen's University
Postdoctoral Research Fellow, Computer Science, Postdoctoral Research Fellow, Computer Science at York University
Stanford School of Engineering, Machine Learning, Stanford School of Engineering, Machine Learning at Stanford University