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Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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@Lab-RPL-ITS

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ainunns/README.md

Hi 👋, I'm Ainun

A Software Engineer based in Indonesia

Gmail ainun-nadhifah-syamsiyah aainunns ainun-nadhifah-syamsiyah ainun-nadhifah-syamsiyah

About Me

  • 💬 Feel free to ask me about Project Management and Software Development
  • 🔭 I'm currently working on web development, with a particular emphasis on front-end technologies
  • 🌱 I'm expanding my skills in backend development, especially within the Go ecosystem.
  • 👯 I'm open to collaborating on backend-focused projects
  • 📫 How to reach me ainunsyamsiyah@gmail.com
  • 👨‍💻 All of my projects are available at GitHub
  • 📄 Know about my experiences on my resume

Languages and Tools:

typescript javascript nodejs go python c cpp java php

react react-router redux vue tailwindcss laravel

mysql postgresql sqlite mongodb

My Statistics

ainunns ainunns ainunns

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  1. gacoan-backend gacoan-backend Public

    Go backend for dine-in digital food ordering with QR code, real-time tracking, kitchen & waiter ops, Midtrans payments, and multi-role support. Built with Clean Architecture, DDD, JWT, and PostgreSQL.

    Go

  2. Lab-RPL-ITS/twitter-clone-api Lab-RPL-ITS/twitter-clone-api Public

    A Twitter-style API in Go using Gin, GORM, and Clean Architecture—supports auth, posts, likes, logging, and Docker. Made for Oprec RPL 2025 Assignment 2 API.

    Go

  3. grocery-list grocery-list Public

    A Grocery List App with Next.js, Tailwind, tRPC and Prisma ORM ✨

    TypeScript 1

  4. kanban-next kanban-next Public

    A dynamic task management tool crafted with Next.js, React, and Tailwind CSS for efficient project organization and progress monitoring.

    TypeScript

  5. furnixy furnixy Public

    Full-stack Laravel e-commerce platform for furniture sales, featuring responsive design, secure payments, and personalized shopping experiences.

    TypeScript

  6. fake-news-detection-apps fake-news-detection-apps Public

    Web-based Fake News Detection using Natural Language Processing (NLP) and Machine Learning

    Jupyter Notebook