Jie Zhou
Software Development Engineer at Amazon
Japan
Summary
🤩
Rockstar🎓
Top SchoolJie Zhou is a software development engineer with 8 years of experience, currently building scalable systems at Amazon from Japan. With an MS in Computer Science from Carnegie Mellon and a strong academic record, Jie blends rigorous engineering practice with applied machine learning expertise. He contributes to notable open-source projects like Apache DolphinScheduler and SuperDuper, adding MLOps task plugins and improving CLI tooling and test reliability. His background includes NLP work during an Amazon internship and teaching assistant roles in computer systems and art+ML, reflecting both deep systems knowledge and creative ML exploration. Colleagues can expect a detail-oriented backend engineer who quietly strengthens developer workflows and testing hygiene across complex AI/data orchestration stacks.
8 years of coding experience
Master of Science - MS, Computer Science, 3.9/4.0, Master of Science - MS, Computer Science, 3.9/4.0 at Carnegie Mellon UniversityBachelor of Science - BS, Computer Science, 3.75/4.0, Bachelor of Science - BS, Computer Science, 3.75/4.0 at University of California, Los Angeles
English, Japanese, Chinese
Github Skills (14)
unit-testing10
mlflow10
workflow-engine10
python10
testing10
data-pipelines9
data-pipeline9
orchestration9
orchestra9
git9
kubeflow8
command-line-interface8
sagemaker7
pytorch7
Programming languages (5)
Github contributions (5)
superduper-io/superduper
Aug 2023 - Mar 2025
Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:494 reviews, 260 PRs, 151 pushes in 1 year 7 months
Contributions summary:Jie made several contributions to the project's CLI and unit tests. They focused on improving the git message handling in the info CLI command and removing an unused import within the CLI code. The user also fixed test-related issues in the unittest and backends code, involving test modifications and code cleanup within the project's codebase.
aichatbotdatadatabasedistributed-ml
apache/dolphinscheduler
Mar 2022 - Dec 2022
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Role in this project:Back-end Developer
Back-end DeveloperContributions:135 reviews, 53 commits, 67 PRs in 9 months
Contributions summary:Jie contributed to the Apache DolphinScheduler project, primarily focusing on improvements to the Python-based DolphinScheduler (pydolphinscheduler) component and the development of new task plugins for the MLOps scenario. Their work involved adding custom logging, testing, and resolving code definition issues within the pydolphinscheduler core. They also added and integrated new task plugins, including mlflow, dvc, pytorch, sagemaker, and openmldb. These plugins enhance the platform's capabilities in data orchestration and machine learning workflows.
dependenciesuser-interfacepipelineorchestrationdata-workflow
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