Projects
Every project in one place — 8 products spanning frontend, full-stack, and AI. Each links to its live demo or source.
Frontend, Monitoring Dashboard
A web monitoring platform for GGF's subsoiling operations — delivering accurate real-time tracking, comprehensive activity reports, and efficient oversight of subsoiling units. I led the frontend, building the responsive dashboard UI and integrating the REST APIs from the Swagger spec.
Tech Stack
AI Recommendation, Best Capstone
An AI-powered interactive travel recommendation platform for smart tourism. Built an NLP-based recommendation engine optimized with pre-trained LLMs. Awarded Best Capstone with a score of 95.
Tech Stack
Maritime Platform, AI + Real-time
A comprehensive digital logbook platform for the Indonesian fishing industry — streamlining vessel operations, catch monitoring, trip scheduling, and regulatory compliance. A monorepo with real-time vessel tracking and an AI microservice for fish-species classification.
Tech Stack
AI Donation Platform, Payments
An AI-powered smart donation platform built for livestream content creators. Features AI-based moderation for donation messages and integrated payment processing via Xendit, running on a Dockerized microservice architecture.
Tech Stack
Android, Published on Play Store
A native Android educational app for children with a child-friendly UI, intuitive navigation, and interactive Lottie animations. Published to the Google Play Store with full release management.
Tech Stack
Sharia Fintech, Flutter App
A Sharia-based transaction and financing platform built with Flutter — a transparent, benefit-sharing system that integrates social funds with community economic activity. Its membership-driven ecosystem (collaboration and incentives) supports sustainable economic, social, and hobby communities across Android and iOS.
Tech Stack
AI Integration, IoT
Machine learning models for cocoa classification and prediction, plus a Retrieval-Augmented Generation pipeline using open-source LLMs. Deployed as FastAPI services integrated with IoT devices.
Tech Stack
Research, Edge Deployment
A deep learning model for face-swap (deepfake) detection developed during a research internship at Universiti Sains Malaysia. Trained on an NVIDIA A40 GPU with inference tested on Raspberry Pi for edge deployment.
Tech Stack