Cheng-Che (Jake) Lee is a skilled software engineer with extensive experience in developing innovative solutions in various high-profile companies. From July 2018 to January 2022, Cheng-Che worked at Amazon as a Software Development Engineer, contributing to projects such as Apache MXNet and the Deep Java Library. Subsequently, Cheng-Che joined Amazon Web Services (AWS) as a Software Engineer from June 2022 to February 2025, focusing on large-scale distributed training with the data parallel library. A brief tenure at Apple in early 2022 involved training and benchmarking a 1 trillion parameter model with PyTorch. Currently, Cheng-Che is part of the MTIA Kernel Team at Meta, starting from February 2025. Academically, Cheng-Che holds a Bachelor's Degree in Computer Science and Information Engineering from National Cheng Kung University and a Master’s Degree in Software Engineering from Carnegie Mellon University.
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