Justin Chiu is a Member of Technical Staff at Amazon with eight years of experience specializing in deep learning, distributed systems, and optimization, currently focused on scaling and optimizing large language models at AWS. He has driven multi-million- and multi-billion-dollar infrastructure savings through distributed training and inference optimizations, including a widely noticed ZeRO3 improvement merged into DeepSpeed and an Expert Parallelism scheme for Trainium accelerators. Comfortable shipping across research and production, he has led cross-team architecture changes, network and multi-DC training decisions, and pretraining/RLHF work for Titan LLMs. Justin’s background in biochemistry and early hands-on research hints at a methodical, experimental approach to system design and performance tuning. He publishes code on GitHub and blends low-level performance engineering (AVX2, vectorization) with large-scale system strategy.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at University of Washington
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