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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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seycileli/README.md

Hi 👋, I'm Sey'

I'm a passionate developer from New York City.


Spread ♥️
Visual Designer and Low-Code Webflow Developer, but Java along with Swift will always have a place in my heart.
I bring a unique blend of artistry and strategy to the table, ensuring that every design choice serves a purpose in telling your brand story. From impactful logos to immersive digital experiences, my goal is to craft a visual identity that catches the eye and leaves a lasting impression.

You can find me on these platforms


LinkedIn

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  1. CoffeeMachine CoffeeMachine Public

    Coffee Machine Simulator. This project is from Hyperskill.io, the project is completed in 3 different ways, the final source being more clean code.

    Java 6 4

  2. google-apps-script google-apps-script Public

    Functions that will power your favorite Google Application, such as Docs, Sheets, Gmail, Maps, Calendar, Drive and more!

    JavaScript 2 1

  3. Reusable-React-Components Reusable-React-Components Public

    All components are built to be copy and pasted and mobile responsive. If you like this project please star so I can continue to update this with new reusable components so that all of us can develo…

    JavaScript

  4. spring-reactjs-h2db-rest-api-expensetracker spring-reactjs-h2db-rest-api-expensetracker Public

    Spring backend with ReactJS frontend which is connected to an embedded H2 Database. Spring Data JPA to perform CRUD operations. | This is OPEN SOURCE - Feel free to share and contribute as you wish.

    JavaScript 2 2

  5. facerecognitionapp facerecognitionapp Public

    An application where users can signin and register. User can upload photo(s) and the Clarifai API will detect if image contains a human face and coordinates the locations of that face within a boun…

    JavaScript

  6. facerecognitionapp-api facerecognitionapp-api Public

    Backend / RESTful API for our Front-End 'facerecognitionapp' Application

    JavaScript