Liuyang Wan is a Senior Staff Software Engineer based in Singapore with 13 years of experience building reliable backend systems and cloud-native deployments. Currently at Zendesk, he has progressed through senior engineering and staff roles, driving architecture and delivery for production services. A Python and Django enthusiast, he contributes to notable open-source projects such as cookiecutter-django—where he improved AWS integration and deployment configuration—and PyGithub, helping ship features, tests, and documentation. His background includes engineering roles at Goldman Sachs and Scantist, a Master’s in Computer Science from Nanyang Technological University, and hands-on DevOps expertise that bridges infrastructure, configuration, and application code. Outside work he has founded and led a community sports club, signaling both leadership and initiative beyond engineering.
13 years of coding experience
10 years of employment as a software developer
Olympiad in Informatics, Olympiad in Informatics at No.3 High School of WISCO
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Nanyang Technological University Singapore
Contributions:22 releases, 33 reviews, 108 commits in 4 years 11 months
Contributions summary:Liuyang contributed to documentation, unit tests, and core functionality of the PyGithub library. They added new features to existing classes such as `Hook` and addressed issues related to Sphinx documentation generation. The user also updated code examples in the documentation.
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
Role in this project:
Back-end & DevOps Engineer
Contributions:5 reviews, 15 commits, 51 PRs in 2 years 6 months
Contributions summary:Liuyang primarily contributed to the infrastructure and configuration of the Django project. Their work involved modifying settings files, integrating with AWS services (S3 and IAM roles), and updating deployment configurations. They also made contributions to the project's documentation and corrected typos. The user demonstrated expertise in optimizing the project's AWS integration and deployment process.
herokupythonboilerplatedjangoproduction-ready
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