Daniel Zhu is a software engineer based in Berkeley with six years of experience building ML-focused tooling and cloud services. Currently on Amazon SageMaker Clarify, he has deep experience deploying and evaluating machine learning models from his prior work on SageMaker Jumpstart and internships at Microsoft Bing and AWS. While studying computer science with a focus on machine learning at UC Berkeley, he also taught and improved operating systems coursework as a TA, demonstrating an ability to communicate complex systems and improve developer workflows. As a maintainer for the dotnet website on GitHub, he blends production-grade engineering with open-source stewardship, and his background spans systems, data pipelines, and model deployment—making him comfortable across both infrastructure and ML application layers.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at University of California, Berkeley
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Daniel Zhu - Software Engineer at Amazon Web Services (AWS)