Welcome to my portofolio

Adrian Baihaqi

Thanks for stopping by. Here you'll find a bit about who I am, the tools I work with, and a selection of projects I've built along the way.

About Me

Adrian Baihaqi

Adrian Baihaqi

Backend Developer

Based in Indonesia

I'm a backend developer passionate about creating efficient, secure, and maintainable server-side applications. I specialize in API development, database management, and system architecture.

I continuously expand my knowledge through hands on projects and enjoy exploring new technologies to build better software solutions.

My Skills

Express.js
HTML5
CSS3
JavaScript
PHP
Node.js
Laravel
Go (Golang)
Bootstrap
MySQL
Vue
Express.js
HTML5
CSS3
JavaScript
PHP
Node.js
Laravel
Go (Golang)
Bootstrap
MySQL
Vue

My Projects

Project 1

Virtulist - To-Do List

A responsive and user-friendly task management web application designed to help users organize, prioritize, and track their daily activities efficiently. Built using Laravel for both frontend and backend development, and developed using PHP and JavaScript.

Project 2

Student Data Management - Desktop App

A desktop application designed to manage student data efficiently, including adding, editing, and deleting records. Developed using Java and built with the NetBeans IDE, this application features a user-friendly interface suitable for academic environments.

Project 3

Starbhak Market - Website and Mobile

A marketplace application created for both web and mobile platforms, showcasing a modern and intuitive interface for browsing various digital products. The website was developed using standard web technologies such as HTML, CSS, and JavaScript, while the mobile version was built using Flutter. The project emphasizes a clean visual layout, responsive design, and smooth user experience across devices.

Project 3

WatchSense

WatchSense is a movie discovery app built with Laravel and Livewire. It pulls film data from TMDb, lets users explore trending titles, inspect movie details, save likes, and surface recommendations based on taste signals like genre, cast, director, and user activity.