I help innovative teams transform complex technical ideas into tangible solutions through full-stack software engineering, intelligent systems development (AI/ML), and integrated IoT prototyping.

As a proactive Computer Science student, I bring a unique blend of enthusiasm for big-picture ideas and the hands-on technical skills to execute them. I stay organized using tools like Notion and am fluent in the modern development ecosystem (Git, VS Code, Google Colab).

I have designed and built diverse end-to-end projects: from a Machine Learning career prediction website and Computer Vision models (using Roboflow) for traffic violation detection, to multiple functional IoT systems like smart watering and smart parking system. I continuously sharpen my skills through courses on Coursera, Dicoding, and Kaggle.