Ziwei Ye
Machine Learning Engineer at Spotify
City of Rochester, New York, United States
Summary
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Rockstar🎓
Top SchoolZiwei Ye is a machine learning engineer with six years of experience building personalized recommendation systems and ML tooling, currently contributing to personalized playlists at Spotify. With a background in computational and applied mathematics (MS) and ongoing graduate research in text, language, and graph data mining, Ziwei bridges rigorous research with production engineering. They are fluent across the ML lifecycle—from data cleaning and statistical/NLP modeling to productionalizing pipelines and stakeholder-facing reporting. Past roles include internships in podcast recommendations and LTV modeling, and open-source contributions to the popular ThinkR-open/golem framework where they extended Shiny app capabilities and polished edge-case behavior. Ziwei’s profile blends enterprise-scale personalization experience with hands-on full-stack contributions and a knack for translating research insights into deployable systems.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computational and Applied Mathematics, Master of Science - MS, Computational and Applied Mathematics at Rochester Institute of TechnologyStuyvesant High School
Github Skills (4)
shiny10
r-package10
r10
javascript9
Programming languages (4)
Github contributions (5)
ThinkR-open/golem
Oct 2019 - Oct 2019
A Framework for Building Robust Shiny Apps
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:16 commits, 3 PRs, 7 comments in 4 days
Contributions summary:Ziwei focused on enhancing the functionality of the Shiny application framework. Their contributions include adding features to download and integrate external JavaScript and CSS files, providing utilities for common UI and JS interactions, and enhancing internal functions such as the handling of custom messages. They also addressed documentation and edge cases to improve the framework's usability. The user's work centered on extending and refining the core capabilities of the framework for creating Shiny apps.
r-packagershiny-appsshinyshiny-r
zwycl/golem
Oct 2019 - Oct 2019
A Framework for Building Robust Shiny Apps
Contributions:11 pushes, 2 branches in 3 days
shiny-appsshiny
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