Mariko Wakabayashi is a Lead Machine Learning Engineer in Chicago with 11 years of experience building scalable ML and deep learning systems that turn complex data into actionable products. She currently leads ML efforts at OpenZeppelin while contributing core asynchronous back-end improvements to Project Jupyter’s jupyter_server, reflecting a blend of production ML and developer-focused open-source work. Her background includes senior roles at Twitter and Bazaarvoice where she shipped large-scale models and systems under real-world constraints. Trained in computer science at UIUC and originally rooted in music performance, she brings a multidisciplinary perspective that helps bridge technical precision with creative problem-solving. Her GitHub activity highlights interests in security and AI research, signaling expertise in safe, reliable ML infrastructure. Colleagues describe her as a pragmatic engineer who pairs deep technical contributions with clear engineering leadership.
11 years of coding experience
8 years of employment as a software developer
High School Diploma, Music Performance, High School Diploma, Music Performance at 洗足学園音楽大学
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
Role in this project:
Back-end Developer
Contributions:12 reviews, 23 commits, 7 PRs in 1 year
Contributions summary:Mariko primarily contributed to the back-end of the Jupyter server project. They added asynchronous support to the contents API by creating and modifying relevant classes and methods. Their work included implementing asynchronous versions of core functionalities such as `AsyncContentsManager`, `AsyncFileContentsManager`, and related checkpointing mechanisms. Furthermore, the user updated documentation to reflect the new asynchronous features.
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Mariko Wakabayashi - Lead Machine Learning Engineer at OpenZeppelin