Fadel Najmi A.

Full-Stack Engineer

I build reliable, scalable systems and intuitive interfaces that feel effortless to use.

ABOUT

I am a Fullstack Engineer who builds reliable and scalable web applications with strong technical foundations. I focus on core principles such as data design, system structure, and code quality, because I believe solid fundamentals make it easier to adapt to any technology and solve complex problems.

I worked as a Fullstack Engineer at the Information and Communication Technology Academic Support Unit, where I built web applications from scratch, from designing data models and system flows to delivering features that work smoothly on the frontend. My work helped clients reach their goals efficiently and improved their experience with the system.

I aim to build solutions that meet clients’ needs while also making the codebase easy for my teammates to understand and maintain. I enjoy connecting strong fundamentals with real-world challenges to create practical and well-structured solutions.

EXPERIENCE

Oct 2025 - Nov 2025

Balai Besar Pelatihan Vokasi dan Produktivitas

Generative AI Tools for Digital Content and Business

Leveraged AI tools to accelerate website development, automation, and digital marketing. Built high-performance websites with AI-assisted tools, developed AI-powered chatbots with n8n and PostgreSQL, and created AI-driven marketing content, improving efficiency, scalability, and user engagement.

n8n ChatGPT SunoAI Sora BoltAI
View Certificate

May 2024 - Aug 2024

Unit Penunjang Akademik Teknologi Informasi dan Komunikasi

Fullstack Engineer

Built and maintained scalable Laravel applications with secure authentication and full CRUD functionality. Designed optimized PostgreSQL database schemas with migrations and indexing to improve performance and maintainability, delivering reliable and scalable backend solutions.

Laravel PHP PostgreSQL

Aug 2023 - Feb 2024

Bangkit Academy led by Google, Tokopedia, Gojek, and Traveloka

Machine Learning Cohort

Developed TensorFlow-based machine learning models in the Bangkit program to address environmental challenges. Collaborated on an AI-powered mobile app for waste classification and recommendations, delivering an end-to-end ML solution from data processing to mobile integration.

Tensorflow Python
View Certificate
View Full Résumé →
View Full Project Archive →