Summary
Maziar Hafezi is a Director-level Applied AI and engineering leader with a decade of experience turning LLMs and ML research into regulated, revenue-impacting products across healthcare, insurance, and financial services. He combines a platform-first mindset with pragmatic cloud-native architecture and strong MLOps, delivering production-grade systems that balance innovation with governance, security, and cost control. Maziar has led end-to-end deployments—from LLM-based medical/insurance Q&A with retrieval and safeguards to claims scoring, underwriting classifiers, intelligent queuing, and hospitalization forecasting—demonstrating measurable operational impact. He builds and scales high-performance cross-functional teams, codifying reusable components, eval harnesses, and guardrails so multiple teams ship faster with higher quality. Hands-on when needed, he prototypes and debugs tough problems while instituting auditability and SME-in-the-loop Responsible AI practices. Based in Toronto with a MASc in Biomedical Engineering and roots in HPC and grid systems, he brings unusual depth across research, production engineering, and regulated-domain delivery.
10 years of coding experience
14 years of employment as a software developer
Master of Applied Science - MASc Biomedical Engineering with focus on AI in Healthcare, Master of Applied Science - MASc Biomedical Engineering with focus on AI in Healthcare at University of Toronto
English, French, Persian, azeri, Turkish