Senior Web Developer - Merchant Management Team at Open Source Projects
Munich, Bavaria, Germany
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Summary
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Emanuel Suriano is a Senior Web Developer with 11 years of experience building user-focused frontend platforms and integrations, currently shaping merchant lifecycle experiences at Revolut in Munich. He combines deep JavaScript and React expertise with architecture and mentoring skills honed across product and platform roles at Omio and intive. An active open source maintainer and technical author, Emanuel contributes accessible, CMS-integrated Gatsby starters and improves backend scrapers to extract richer profile data, reflecting a full-stack curiosity. He’s comfortable making cross-team technical decisions—especially around developer experience, a11y, and payment integrations—and often translates complex flows into polished UI interactions. Outside of work he speaks and writes about the JavaScript ecosystem, turning hands-on engineering into shareable knowledge.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Universidad Nacional de La Matanza
High School Diploma Information Technology, High School Diploma Information Technology at ITI San Judas Tadeo
An accessible and fast portfolio starter for Gatsby integrated with Contentful CMS
Role in this project:
Front-end Developer
Contributions:363 reviews, 381 commits, 188 PRs in 4 years 5 months
Contributions summary:Emanuel primarily contributed to setting up and structuring the contentful integration within the Gatsby project. They added the necessary setup and initial project structure for projects and writing sections, using React components and styling with rebass. Additional commits focused on refining the user interface by adding transition effects and addressing layout issues, focusing on improved visual presentation.
Contributions:7 commits, 1 PR, 3 comments in 4 days
Contributions summary:Emanuel primarily focused on enhancing the LinkedIn scraper by improving the data extraction process. They modified the profile scraping template (`profileScraperTemplate.js`) to extract additional information like courses, languages, and projects. The changes involved updates to the data cleaning process and also included adjustments to handle variations in LinkedIn's website structure. The user's contributions included the creation of a new function to handle the accomplishment panel.
pythonscrapylinkedin-scraperlinkedinscraping
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Emanuel Suriano - Senior Web Developer - Merchant Management Team at Open Source Projects