Summary
Iman Mirzadeh is a Senior Machine Learning Researcher with 11 years of experience blending academic rigor and production ML, currently working on efficient and continual learning at Apple after a PhD and research assistantship at Washington State University. His background spans ML engineering roles and a research internship at DeepMind, with hands-on work optimizing inference and reasoning for large language models. He focuses on lifelong learning and edge-efficient deep learning, bringing methods from research into scalable, deployment-ready systems. Based in the Greater Seattle Area, he combines theoretical expertise in continual learning with practical experience accelerating model inference, a mix that helps bridge cutting-edge research and real-world product constraints.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Information Technology Engineering, Bachelor of Science - BS, Information Technology Engineering at University of Tehran
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Washington State University
Mathematics, Mathematics at National Organization for Development of Exceptional Talents (Sampad)