Hello, I'm Arvin.

I'm a Fullstack Developer who enjoys building end-to-end web applications and exploring Machine Learning.

About Me

I'm a Computer Science graduate currently working as a Fullstack Developer at the Secretariat General of the Indonesian House of Representatives (DPR RI), where I build and maintain a web-based inventory system managing over 300,000 asset records. I handle everything from system analysis to deployment — mostly independently, which means I've gotten pretty comfortable figuring things out on the fly.

Outside of web development, I have a strong interest in Machine Learning, particularly computer vision. My undergraduate thesis focused on deepfake detection using deep learning architectures like ResNet, VGG, and CNN. I also hold certifications in AI from both Huawei (HCIA-AI) and Certiport (IT Specialist – AI).

I like working on projects that have real impact, collaborating directly with users, and occasionally breaking things just to understand how they work.

My experience

Head of Student Welfare Division

DKBMN, Universitas Multimedia Nusantara

Served in the campus legislative body as a bridge between students and university leadership. Led a division focused on collecting student concerns and working toward practical solutions to improve campus life.

2022–2023

R&D Division Member

HMIF, Universitas Multimedia Nusantara

Part of the Research & Development division of the Computer Science student association. Collaborated with a team to explore ways the CS department at UMN could grow and improve academically and professionally.

2023–2024

Product Developer Intern

DigiKidz, Indonesia

Researched interactive 2D and 3D games suitable for students from kindergarten to high school. Developed training materials and mentored teachers — from research background to hands-on game development — tailored to each grade level.

Jan–May 2024

Deepfake Research & Undergraduate Thesis

Universitas Multimedia Nusantara

Conducted research on deepfake detection using deep learning architectures (CNN, ResNet, VGG) alongside a faculty mentor. Resulted in an undergraduate thesis published in IEEE Xplore.

2024–2025

B.Sc. in Computer Science — GPA 3.76

Universitas Multimedia Nusantara

Graduated with honors, maintaining a GPA of 3.76 across 8 semesters of the Computer Science program.

July 2025

End-to-End Developer

Sekretariat Jenderal DPR RI, Jakarta

Sole developer handling the full product lifecycle — from gathering requirements directly with users to design, frontend, backend, testing, and deployment. Built digital solutions for managing 300,000+ state assets, replacing manual paper processes with PDF workflows, e-signatures, and WhatsApp bot integration for remote signing.

Feb 2025 – Present

My Web Projects

Inventory Management System – DPR RI

Web-based inventory system for the Secretariat General of the Indonesian House of Representatives. Manages over 300,000 asset records and replaces fully manual processes, cutting processing time by 3–4x.

Laravel
PHP
MySQL

Natural Disaster Mitigation System

Full-stack web app for earthquake evacuation route planning in Panggarangan Village, South Banten. Built with real-time data integration and optimized for mobile use during emergencies.

Next.js
Firebase
TypeScript
Tailwind CSS

Deepfake Classification – Undergraduate Thesis

Research on deepfake detection using deep learning architectures including ResNet, VGG, and CNN. Built and tested classification models to distinguish authentic media from manipulated ones.