Summary
Omar Awad is a senior software and ML researcher with 11 years of experience building and optimizing large language and multimodal models, currently focused on performance at Meta. He blends deep learning research with hardware-aware engineering—designing efficient transformer/SSM architectures, sub-8-bit HW/SW co-design, and runtime memory and communication optimizations that accelerate both training and inference. His background includes productionizing LLMs, retrieval-augmented generation, conditional computation and MoE speedups, plus contributions to internal patents and award-winning efficiency work. Prior roles at Huawei and Cerebras gave him hands-on experience tuning kernels and microcode across accelerators, while his MSc from University of Toronto grounds his work in rigorous research. He mentors engineers, interviews candidates for co-design projects, and runs a public portfolio of his work, reflecting a rare mix of low-level hardware insight and high-level model innovation.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at The German University in Cairo
Exchange Electrical and Electronics Engineering, Exchange Electrical and Electronics Engineering at Ruhr University Bochum
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at University of Toronto
Arabic, German, French, English