Portfolio
Informatics Graduate | IoT & Software Engineering | AI Applications
Building practical software and intelligent systems while continuously learning and growing.
Connecting hardware, sensors, and dashboards for practical automation workflows.
Building maintainable web applications, APIs, and data-driven interfaces.
Exploring intelligent assistants, automation, and AI-powered productivity tools.
Designing structured systems for operations, reporting, and decision support.
About
I'm an Informatics graduate passionate about IoT, AI, Software Engineering, Data Management, and Information Systems. I enjoy building practical solutions that connect hardware, software, and automation. Through academic projects, internships, and personal development, I have developed web applications, embedded systems, and database-driven platforms while continuously improving my skills in software architecture, automation, and intelligent system development. I am always eager to learn new technologies and build solutions that create real-world impact.
Skills
A collection of programming languages, frameworks, databases, and tools that support my development journey.
Projects
A focused collection of IoT, information system, AI, mobile, and web application projects.
An IoT-based attendance system that uses facial recognition to record clock-in and clock-out activities. Two PIR sensors detect movement direction, while a servo motor automatically adjusts the camera orientation for better face capture.
A web-based inventory management system for organizing K-Pop merchandise, tracking stock levels, and displaying low-stock notifications.
An AI-powered assistant web application built with Flask, Gemini API, speech recognition, chat history, and RAG document upload.
An Android application that allows students to review courses and lecturers by submitting ratings, lecturer names, and written feedback. The app uses Firebase Realtime Database to store user and review data.