Seán Hayes is a seasoned software engineer with 16 years of experience building scalable web products, currently on Google’s Tenor Web team after Tenor’s acquisition. He’s led full-stack web development for products reaching hundreds of millions of users and 65M+ monthly active users, driving a 44x increase in search traffic through end-to-end ownership of development, deployment, and product input. Comfortable across Python, Node.js, React and AWS, Seán focuses on test-driven teams and code review culture, and has deep experience improving backend APIs and CDN-backed media delivery at scale. An active open-source contributor, he’s enhanced popular projects like gif-for-cli and helped harden django-tastypie with targeted tests and performance-focused refactors. Pragmatic and hands-on, he pairs product-minded engineering with mentoring experience from running his own development shop.
16 years of coding experience
11 years of employment as a software developer
No Degree, Major: Information Technology, Minors: Philosophy and Entrepreneurship, No Degree, Major: Information Technology, Minors: Philosophy and Entrepreneurship at Rochester Institute of Technology
Contributions:22 commits, 7 PRs, 25 pushes in 1 year 3 months
Contributions summary:Seán primarily focused on improving the project's functionality and user experience by adding new features and fixing bugs. They added an entrypoint for the command-line interface and made the setup.py requirements more permissive, indicating a focus on project setup and usability. They also improved the Tenor API integration with error handling and updated the codebase with features such as the ability to export animated ASCII as a .gif.
Creating delicious APIs for Django apps since 2010.
Role in this project:
Back-end Developer
Contributions:193 commits, 259 PRs, 182 pushes in 3 years 9 months
Contributions summary:Seán primarily contributed to the django-tastypie project by adding test cases to address potential data integrity issues related to reverse 1-to-many relationships. They also made changes to improve the speed of tests and organized the project's requirements. Additionally, they fixed a bug in an existing test model and refactored parts of the code to leverage mock libraries for better performance and more efficient testing.
django-appsapipythondjango-rest-frameworkdjango
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