vabene1111 is a Software Engineer based in Germany with 11 years of practical experience and a keen interest in hobbyist development. He contributes actively to open-source projects in the recipe and food-tech space, notably fixing scraper bugs and adding new site support for the popular recipe-scrapers package and delivering full-stack improvements to the Tandoor Recipes application. Comfortable across the stack, he has made backend Django model and API changes as well as frontend Vue.js enhancements, plus database migrations and QA-focused test work. His work emphasizes data accuracy and user-facing reliability, reflecting a pragmatic approach to solving real-world integration issues. Notably, he blends maintenance-oriented bug fixes with feature delivery, showing both attention to detail and the ability to extend core functionality.
Application for managing recipes, planning meals, building shopping lists and much much more!
Role in this project:
Full-stack Developer
Contributions:136 releases, 83 reviews, 2708 commits in 5 years
Contributions summary:Vabene1111 contributed to the development of the Tandoor Recipes application, focusing on both backend and frontend changes. Their contributions included modifications to the Django models, database migrations, and API endpoints, alongside UI enhancements and bug fixes for the frontend Vue.js components. They were responsible for implementing a variety of features, including the creation of new automation rules and integrating changes for enhanced functionality, demonstrating proficiency across the full stack. Furthermore, the commits showcase a focus on improving both code quality and user experience.
Contributions:13 reviews, 9 commits, 8 PRs in 6 months
Contributions summary:Vabene1111 primarily contributed to the recipe-scrapers project by fixing bugs in existing scrapers, such as thehappyfoodie.co.uk and reishunger.de, related to ingredient import and multi-method recipe support. They also added a new scraper for simplycookit.com, which indicates involvement in the core functionality of extracting data from various websites. The commits included code modifications to both scraper logic and tests, suggesting a focus on ensuring data accuracy and reliability across different recipe sources.
pythonrecipesscraping-recipesscrapingscraper
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