Tsung-tso Hsieh
Software Engineer at 新思科技股份有限公司
Hsinchu, Taiwan Province
Summary
👤
Senior🎓
Top SchoolTsung-tso Hsieh is a software engineer with nine years of industry and research experience, currently developing high-performance Verilog compile and simulation tooling at 新思科技. He holds a master’s (4.0/4.3 GPA) and bachelor’s double major in Computer Science and Law from 國立清華大學, where he also contributed a Kubernetes-aware GPU scheduler for elastic distributed deep learning (VodaScheduler). His background spans embedded real-time firmware, algorithm design, and introducing ML-driven automation that reduced manual analysis effort by 90% during an internship at 聯發科. Comfortable bridging research and production, he brings strengths in systems-level programming, performance optimization, and practical open-source engineering. Based in Hsinchu with ties to both Taiwan academia and Canadian residency, he blends rigorous academic training with hands-on delivery in semiconductor and ML infrastructure domains.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Double Major in Computer Science and Law, Bachelor's degree, Double Major in Computer Science and Law at 國立清華大學
Github Skills (36)
baidu10
keras-tensorflow9
pytorch9
horovod9
keras9
elastic8
hash8
ray8
memory-footprint8
deep-learning8
tensorflow8
machine-learning8
kubeflow8
mxnet8
mpi8
Programming languages (4)
Github contributions (5)
heyfey/AutoBookTKB
Aug 2018 - Nov 2018
Contributions:47 commits, 36 pushes, 1 branch in 2 months
heyfey/vodascheduler
Apr 2021 - Nov 2022
GPU scheduler for elastic deep learning workloads in Kubernetes cluster
Contributions:2 releases, 7 reviews, 200 commits in 1 year 7 months
containerspytorchschedulinghorovodworkloads
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