Cody Hsieh
AI Engineer at Amazon
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolCody Hsieh is an AI Engineer with a decade of experience designing production ML data pipelines and distributed training infrastructure, currently building learner-centered generative AI and personalization systems for educational products. A UC Berkeley EECS graduate, he has shipped scalable Spark/EMR pipelines and AWS Step Functions orchestration at Amazon Advertising and built counterfactual tooling to quantify ad revenue impacts. His background spans research and applied work—from distributed reinforcement learning infrastructure at Intel using Kubernetes and Ray to convolutional models for spatial audio and accent-conversion projects in PyTorch. Comfortable bridging research and production, Cody combines strong systems engineering with hands-on ML modeling and a track record of cross-functional collaboration across startups and large enterprises. An organizer and mentor from his Berkeley days, he brings both product focus and a curiosity for novel ML applications in education and audio.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering and Computer Science, Bachelor of Science (B.S.), Electrical Engineering and Computer Science at University of California, BerkeleyHigh School, Unweighted: 3.98, High School, Unweighted: 3.98 at Linn Mar High SchoolDiscrete Mathematics, A+, Discrete Mathematics, A+ at Mount Mercy University
Github Skills (17)
openai-gym10
starcraft10
mujoco9
reinforcement-learning8
imitation-learning8
intel8
controller8
onnx7
mxnet7
tensorflow7
deep-learning7
carla7
deep-reinforcement-learning7
kubernetes4
kotlin2
Programming languages (2)
Github contributions (5)
codyjhsieh/dermio
Apr 2018 - Dec 2018
Contributions:5 commits, 34 pushes, 1 branch in 8 months
codyjhsieh/HRTFCNN
Dec 2018 - Dec 2018
Contributions:4 commits, 9 pushes, 1 branch in 1 day
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