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auckyrh/README.md

Hi there, I'm Aucky Riman Halim πŸ‘‹

Full Stack Web Developer expanding into AI/ML | Apple Developer Academy Alumni (2021) | Currently applying for Apple Developer Institute for AIML @ UC Surabaya (Cohort 2026)

πŸš€ About Me

I'm a Full Stack Web Developer with a strong foundation in system design and web application development. Currently exploring the intersection of web development and artificial intelligence through hands-on ML projects while maintaining my expertise in building scalable, secure web applications.

  • πŸ”­ Currently working on property management systems and AI/ML portfolio projects
  • 🌱 Learning Machine Learning, Python, Scikit-learn, and iOS development with Core ML
  • πŸ’Ό Experienced with Laravel, Livewire, TailwindCSS, Alpine.js (TALL Stack)
  • πŸŽ“ Apple Developer Academy Alumni (2021)
  • πŸ“ Based in Surabaya, Indonesia

πŸ› οΈ Tech Stack

Languages & Frameworks:

  • PHP, Laravel, Livewire, JavaScript, Alpine.js, Python
  • Swift, SwiftUI (iOS Development)
  • HTML5, CSS3, TailwindCSS

Databases & Tools:

  • MySQL, PostgreSQL, MongoDB
  • Git, GitHub, GitLab
  • Docker (Basic), VPS Deployment

AI/ML & Data Science:

  • Python, Scikit-learn, Pandas, NumPy
  • Core ML, Create ML, Vision Framework
  • Google Colab, Jupyter Notebook

πŸ“Œ Featured Portfolio Projects

iOS app using Core ML to identify 38 plant diseases with 94% accuracy. Built with SwiftUI and Vision Framework.

ML model comparing Linear Regression, Random Forest, and Decision Tree for property price prediction in East Java. Achieved 93.48% accuracy with Random Forest.

🏒 Next Level Properti Full-stack property management system built with Laravel and PostgreSQL. Currently in active development with core features live in production at nextlevelproperti.com. Development web at [https://dev.nextlevelproperti.com]. Managing property listings, agent management, internal workflows, voucher packages, commissions system and transaction tracking.

🎯 Current Focus

  • Preparing portfolio for Apple Developer Institute for AIML @ UC Surabaya (Cohort 2026)
  • Building AI-powered features for property technology applications
  • Exploring machine learning model deployment and optimization

πŸ“« Get In Touch


πŸ’‘ "Always learning, always building."

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