Daniel Gatis is a seasoned software engineer with 15+ years building backend-first, production-grade systems across fintech, insurance, healthcare and marketplaces from São Paulo. He specializes in Go and Ruby on Rails, has led microservice architectures and teams, and pairs backend expertise with front-end work in React/JS to ship end-to-end features at scale. His career includes leading payments and digital banking platforms and optimizing a customer-facing SaaS used by thousands at Housecall Pro. An active open-source contributor, he improved tools like rembg (image background removal) and a Puppeteer reCAPTCHA solver, showing attention to practical tooling and robustness. Comfortable mentoring engineers and driving architecture decisions, he brings both hands-on coding and operational pragmatism to complex distributed systems.
15 years of coding experience
16 years of employment as a software developer
Bachelor of Computer Science Computer Science, Bachelor of Computer Science Computer Science at Universidade Católica de Pernambuco
Contributions:62 releases, 32 reviews, 190 commits in 2 years 5 months
Contributions summary:Daniel primarily focused on improving the `rembg` project, which is a tool for removing image backgrounds. Their contributions included updating and fixing the `setup.py` file, removing unused imports from several files, and refactoring the server logic. They also fixed the flask logger and addressed issues related to model download and added alpha matting functionality for refined background removal.
Contributions:50 commits, 15 PRs, 60 pushes in 3 years 7 months
Contributions summary:Daniel primarily focused on enhancing the functionality and robustness of a Puppeteer-based reCAPTCHA solver. They made significant changes to the core logic for solving reCAPTCHA challenges, specifically incorporating audio-based solutions and proxy integrations, as well as added improvements to handle diverse reCAPTCHA implementations. In addition, the user updated the project's documentation and example files. This indicates a focus on both backend solving mechanisms and project usability.
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