Summary
Kamran Jafari is a Senior GenAI Algorithms Engineer at NVIDIA with a decade of experience building and productionizing advanced machine learning systems. He brings deep research foundations from a PhD at the University of Toronto and a track record of applied ML leadership at Cerebras, Borealis AI, and Intel, where he moved models from prototype to hardware-accelerated deployment. Known for bridging algorithm design and systems engineering, he led teams at Cerebras as a Principal Applied ML Scientist and Tech Lead Manager, focusing on scalable model optimization for next-generation accelerators. Based in Toronto, he combines embedded and deep learning roots with hands-on expertise in large-model algorithms, often tackling the practical constraints of latency, memory and chip-level performance. Kamran’s profile suggests a rare mix of academic rigor and production-first engineering that accelerates adoption of cutting-edge GenAI in real-world systems.
10 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.) Electrical Electronics and Communications Engineering, Master of Science (M.Sc.) Electrical Electronics and Communications Engineering at Shiraz University
Doctor of Philosophy (PhD) Electrical Electronics and Communications Engineering, Doctor of Philosophy (PhD) Electrical Electronics and Communications Engineering at University of Toronto
English, Persian