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luizmellodev/README.md

Luiz Mello

iOS Engineer in Porto Alegre, Brazil. I build native apps with SwiftUI and UIKit, care about the small UX details, and share what I learn along the way (usually with a coffee nearby).

Right now I'm at TELUS Digital / WillowTree, building iOS apps for large consumer products used by tens of millions of people. Work across telecom, news, and insurance.

I got here through the Apple Developer Academy. After that, I helped build a startup from the ground up and kept shipping side projects on my own.

luizmello.dev is the hub for everything else: articles, apps, and side projects.

Things I've built and actually use

  • TabNews Reader · unofficial iOS client for TabNews. Feed, library, widgets, Apple Watch, newsletter notifications, Dev Games. And it's Open source! PRs welcome.
  • Noira Cam · film-inspired camera and photo editor. Film looks in-camera, depth blur, the whole color grading rabbit hole.
  • Ritus Club · specialty coffee guide I built after getting way too into espresso and latte art. Seed to cup, brew methods, tools.
  • SwiftShelf · community library of SwiftUI components. Still a work in progress (and it's Open Source too!)
  • Content · dev tips on @luizmello.dev (Portuguese). Not super active lately.

On the side I poke at Next.js/React and Python when a problem asks for it.

Contact

Website LinkedIn Email Instagram

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  1. SwiftShelf SwiftShelf Public

    Community-driven gallery of reusable SwiftUI components.

    Swift 2

  2. tabnews-reader tabnews-reader Public

    A fan-made app of the TabNews website.

    Swift

  3. coffee-hunter coffee-hunter Public

    An app that helps you discover and track coffee shops near you using MapKit.

    Swift

  4. the-game the-game Public

    A challenging 2D arcade-style game built with Swift.

    Swift 5

  5. instalink instalink Public

    A project for an Instagram link management site (like Linkgallery)

    TypeScript 24 6

  6. Ngrams Ngrams Public

    This project has the objective of creating ngrams based on text inputs, generating text output with the ngrams and your frequency.

    Python