Filipe Linhares is a Senior Frontend Developer from Santa Catarina, Brazil, with 12 years of hands-on experience building web applications and a decade-plus focus on frontend engineering. He combines a pragmatic, team-oriented approach with a taste for elegant solutions and continuous learning, having advanced from graphic design into robust UI engineering roles across startups and product teams. Filipe contributes to open source—most notably maintaining the modern CSS reset "ress"—and has bridged frontend work with data integration tasks, including Yelp data pipelines for civic-tech projects. Comfortable shaping product-quality interfaces and improving cross-browser reliability, he brings a developer’s eye for detail and a collaborative mindset to delivery-focused teams.
12 years of coding experience
11 years of employment as a software developer
Técnico em informática. Tecnologia em Tecnologia da Informação/Sistemas da Informação, Técnico em informática. Tecnologia em Tecnologia da Informação/Sistemas da Informação at SENAI/SC - Serviço Nacional de Aprendizagem Industrial
Contributions:2 releases, 98 commits, 19 PRs in 6 years 7 months
Contributions summary:Filipe primarily contributed to the CSS reset project, ress. They made multiple revisions to the project's CSS files, including modifications to `sanilize.css` and `sanilize.min.css`. The user's commits included the removal of dependencies, fixes for browser-specific focus issues, and improvements to code quality and legibility. Additionally, the user updated the project with modifications from normalize.css, ensuring that the reset is up to date with modern best practices.
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Role in this project:
Data Scientist
Contributions:17 commits, 5 PRs, 15 pushes in 4 months
Contributions summary:Filipe primarily focused on building a script to fetch data from the Yelp API, indicating a data collection and integration effort. They implemented Python scripts to query the Yelp API based on company trade names and addresses, aiming to enrich a dataset related to meal reimbursements. Further commits involved normalizing the fetched JSON data into a pandas DataFrame and improving the search parameters, suggesting a focus on data wrangling and pipeline development for a data science project.
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Filipe Linhares - Senior Frontend Developer at Dois na Oito