Paul Hsiung
Machine Learning Engineer at Adobe
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolPaul Hsiung is a Machine Learning Engineer with 10 years of experience building production ML and computer vision systems across Adobe, BetterUp, and VMware. He blends deep academic training from Carnegie Mellon and USC with hands-on software engineering, shipping scalable models and MLOps infrastructure. Notably, he contributed to the flagship TensorFlow project, improving TPU support and XLA components to make large-scale model execution more efficient and reliable. His background spans data mining, behavioral modeling, and end-to-end deployment, reflecting a rare mix of research, backend systems, and performance-focused optimization. Based in San Jose, he thrives on bridging algorithmic innovation with production-grade engineering to accelerate ML at scale.
10 years of coding experience
22 years of employment as a software developer
MS, Computer Science, MS, Computer Science at University of Southern CaliforniaMS, Robotics, MS, Robotics at Carnegie Mellon University
Github Skills (10)
xla10
tensorflow10
tpu10
python9
cprogramming-language9
mlops9
c-language9
machine-learning7
deep-learning6
deeplearning-ai6
Programming languages (6)
Github contributions (5)
tensorflow/tensorflow
Jul 2023 - Jul 2023
An Open Source Machine Learning Framework for Everyone
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:4 PRs in 1 day
Contributions summary:Paul contributed to the TensorFlow/TensorFlow repository by working on the TPU (Tensor Processing Unit) infrastructure and related components. Their commits focused on enabling and improving TPU-related tests, including outside compilation features for Cloud TPU VMs. They also made changes to core XLA (Accelerated Linear Algebra) compiler components, particularly the `TpuOpExecutable`, and refactored internal data structures to improve performance and maintainability. These changes show a focus on integrating and optimizing TPU operations.
pythondata-sciencedeep-learningmlmachine-learning
LionOfJewdah/LAHacks2017
Apr 2017 - Apr 2017
Contributions:72 commits, 47 pushes, 1 branch in 1 day
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