Rais Zainuri is a Mobile Developer with experience building Android and iOS applications using Kotlin, Java, and Swift. Skilled in implementing MVVM architecture, developing end-to-end application features, and collaborating within multidisciplinary teams. Over 2+ years of mobile development experience and 5 years in Software Development.
See more about him at GitHub and LinkedIn.
You can contact him at raiszainuri09@gmail.com or +6289624204094
AI Cloning Audio is Personalized Auditory Training Apps, using As an iOS Developer, I specialize in crafting logical, and implementing MVVM Clean Architecture, fetching API, Audio Management.
An academic Android application designed to assist students in managing their academic activities more efficiently.
Android project to detect tuberculosis disease using x-ray image, with kotlin and tflite consumption.
Created YouTube content related programming and technology.
Explore more of my work on GitHub.
I've created a GitHub repository to store and manage my backup configuration files used on my Linux desktop. This repository includes various configuration files that are essential for maintaining and personalizing my Linux environment. It serves as a backup solution to easily restore my setup in case of system failure or migration to a new machine.
The repository contains configuration files for various tools and applications I use regularly. You will find files for:
By maintaining this repository, I ensure that my Linux environment is consistently set up, and I can easily share my configuration with others who may find it useful. Feel free to explore the repository and use it as a reference for your own configurations.
Check it out here.
Explore a collection of blog posts that cover a wide range of topics related to Android development, software engineering best practices, and personal experiences in the tech industry.
Visit the blog here to read more articles and stay updated with the latest posts.
Discover my journey into the world of Machine Learning through various projects and experiments documented in this section.
Explore the Machine Learning section here to dive into more projects and resources.