Asaf Katz is a Frontend Developer with 11 years of experience building performant, design-driven web applications and developer tools from Mexico. He combines a strong eye for design with deep engineering chops—shipping front-end systems at startups and integrating React into large legacy apps while supporting mobile teams with React Native. Asaf is a prolific open-source maintainer: his autodll-webpack-plugin dramatically speeds up builds and is used by Next.js and tens of thousands of repos, and his utilities like Awaity.js have earned praise from prominent authors in the JS ecosystem. He’s comfortable across the stack—authoring webpack plugins, backend scrapers for financial data, and reusable component libraries—and prioritizes APIs that are simple for designers yet extensible for advanced use. Known for mentoring juniors, improving CI and tooling, and working asynchronously across timezones, he seeks roles that let him work closely with designers to empower creative thinkers.
Contributions:11 releases, 283 commits, 43 PRs in 11 months
Contributions summary:Asaf primarily contributed to the development of a Webpack plugin designed to handle DLL (Dynamic Link Library) builds. Their work included refactoring the plugin's core functionality, implementing improvements for argument handling, and introducing memory-based file system integration. The user also implemented support for HTML injection of the generated DLL bundles and made significant changes to the project's internal structure.
Provide scrapers for all major Israeli banks and credit card companies
Role in this project:
Back-end Developer
Contributions:9 commits, 8 PRs, 19 comments in 14 days
Contributions summary:Asaf primarily contributed to the core functionality of the project, focusing on the data scraping logic for various Israeli banks and credit card companies. Their work involved modifying scrapers to handle date formats, currency conversions, and transaction status. The user also refactored and improved helper functions related to transaction processing. This indicates a strong understanding of data extraction, transformation, and the underlying financial data structures within the scraping process.
creditcredit-cardscrapersbanksscraping
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