Tiger Abrodi is a Founding Fullstack AI Engineer and product-focused developer with 7 years of experience building end-to-end web products in TypeScript, React, and AI-driven workflows. He moves fluidly between frontend performance, design engineering, and backend glue—preferring TypeScript but comfortable with Go when needed—and has repeatedly improved developer experience, testing strategy, and observability in startups. Tiger has led feature and infrastructure efforts from first-employee wins at Bobsled to launching collaboration and visual editing systems at Lovable, and now applies that product mindset to AI at spawn.co. An active open-source contributor, he’s improved i18n UX and modernized test suites in notable projects like react-i18next and HospitalRun, showing a knack for maintainability and accessibility. Born in Sweden and raised in Germany since his teens, he combines a gamer’s curiosity with a designer’s attention to user experience and community-oriented work such as blogging, podcasts, and volunteering.
Contributions summary:Tiger primarily focused on converting existing tests to use React Testing Library (RTL) within the `hospitalrun-frontend` repository. They updated multiple test suites related to UI components like `HospitalRun`, `Sidebar`, `Incidents`, `PatientSearchInput`, `AddVisitModal`, `ImagingRequestTable`, `ViewCareGoal`, `ViewNote`, `ViewPatientsTable`, and `ViewLab`. These changes involved refactoring test structures, updating assertions, and improving the overall testing strategy. This indicates a commitment to improving the quality and maintainability of the front-end codebase.
Internationalization for react done right. Using the i18next i18n ecosystem.
Role in this project:
Front-end Developer
Contributions:13 reviews, 19 commits, 1 PR in 7 days
Contributions summary:Tiger primarily contributed to the React-based front-end of the project, focusing on internationalization features. They implemented and refined the `Trans` component, allowing for more flexible interpolation of values within translated strings. The user also converted existing tests to use the RTL testing library, indicating a focus on improving testing practices. These changes enhance the user experience and maintainability of the i18n implementation.
reactreact-nativetranslationi18nextjavascript
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Tiger Abrodi - Founding Fullstack AI Engineer at spawn.co