Get to know my background and what I bring to the table
Developer Summary
I'm a passionate Full Stack Web Developer with a strong foundation in building modern, responsive web applications. I focus on clean code, user experience, and scalable solutions using the latest technologies.
My journey into web development started with a curiosity for how websites work. Since then, I've worked on projects ranging from Wollega University Recruitment & Employee Service Portal to the University Car Request System (UCRS) and Text Summarization Project, always aiming to deliver value and quality.
Education & technical background in Electrical & Computer Engineering and Web Development, with hands-on experience in full-stack projects and modern frameworks.
Frontend
HTML
CSS
JavaScript
React
Next.js
Tailwind
Backend
Node.js
Express
Database
MongoDB
MySQL
Tools
Git
GitHub
VS Code
Skills
Technologies and tools I work with
Frontend
HTML595%
CSS3 / Tailwind90%
JavaScript88%
React90%
Next.js85%
TypeScript82%
Backend
Node.js88%
Express.js85%
REST APIs90%
Database
MongoDB85%
MySQL80%
Tools
Git / GitHub90%
VS Code95%
Figma70%
Projects
A selection of work I've built
University Car Request System (UCRS)
A full-stack web application developed to automate university vehicle request and fleet management. The system enables staff to submit transportation requests, transport officers to approve and assign vehicles, drivers to manage assignments, and administrators to oversee users, vehicles, and reports.
Wollega University Recruitment & Employee Service Portal
A modern recruitment and employee service management system that streamlines job posting, online applications, employee services, authentication, and administrative management through a secure full-stack web platform.
A comprehensive student management platform designed to manage student records, attendance, academic information, authentication, and administrative operations through an intuitive dashboard.
A QR code-based digital hotel menu system that allows customers to browse food and drinks using their smartphones. The application provides an elegant menu interface for restaurants and hotels with a modern responsive design.
An AI-based natural language processing project that generates concise summaries from lengthy text documents using transformer-based deep learning models implemented in Python.