Mohammad Razlighi is a research engineer in Seattle with a decade of experience focused on machine learning systems, currently working at Apple on efficient training and inference of large language models. He holds a PhD in Electrical and Computer Engineering from UC San Diego and spent five years as a graduate researcher tackling ML acceleration, privacy, and robustness. Mohammad blends deep academic rigor with hands-on production work, translating research advances into practical optimizations for LLMs. His background in electrical engineering gives him a hardware-aware perspective on software performance, enabling end-to-end efficiency gains that span algorithms to deployment.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at Sharif University of Technology
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