Informatics Engineering Graduate · AI/ML Engineer · Android Developer · Network Administrator
I build AI-powered applications focused on accessibility and social impact — from sign language translators to currency recognition tools for the visually impaired. I enjoy working across the full stack of a machine learning project: data preprocessing, model training, deployment, and integration into real products.
AI-powered web app for recognising and translating Indonesian Sign Language (SIBI) alphabet using Computer Vision
- Role: AI Engineer — model training, architecture comparison, real-time inference pipeline
- Models: EfficientNetB0 (96% val accuracy), ResNet50 (97% val accuracy), MobileNetV2
- Stack: TensorFlow/Keras · MediaPipe · OpenCV · Python · Flask
- Program: Coding Camp 2025 Powered by DBS Foundation ID
- 🌐 Live Demo: signifyindonesia.netlify.app
- 📁 ML Repo: signifyindonesia/signify-ml
Android app that translates surrounding environment conditions into audio output for visually impaired users
- Role: Android Developer — on-device ML integration, UI/UX, Kotlin development
- Stack: Kotlin · Android Studio · TensorFlow Lite · REST API
- Program: Bangkit Academy 2024 led by Google, Gojek, Tokopedia & Traveloka
- 📁 Repo: EyesOnMe
AI-powered app to detect and identify Indonesian Rupiah banknote denominations via camera
- Role: AI & Mobile Developer — object detection model, mobile inference
- Stack: Python · TensorFlow · OpenCV · Android
- Context: Internship project at SLB Negeri Taruna Mandiri Kuningan
- 📁 Repo: SIRUPI
AI / ML → Python · TensorFlow/Keras · OpenCV · MediaPipe · Scikit-learn
Mobile → Kotlin · Android Studio · Jetpack Compose · TensorFlow Lite
Web / Backend → JavaScript · Flask · REST API
Tools → Git · Figma · Jupyter Notebook
- 🏅 Junior Network Administrator — BNSP (Valid 2024–2027)
- 🏅 IT Specialist: HTML & CSS — Certiport (2025)