At Widya Inovasi Indonesia, I designed, trained, and deployed computer vision models for industrial monitoring, including anomaly detection and PPE compliance. I integrated model predictions with IoT sensor data in real-time dashboards, helping reduce manual inspection time by approximately 60%.
At Megalogic, I deployed a real-time vehicle counting and classification system that achieved 95%+ accuracy across four vehicle classes. It connected to a web-based interface for continuous traffic monitoring without manual counting.
With GAMAFORCE, I built an autonomous payload-drop system for a fixed-wing UAV using MAVLink/pymavlink and developed a physics-based trajectory simulator. I also built a real-time ground-control dashboard, contributing to first place at KRTI 2025 and second place at KRTI 2024.
At Elins Research Club, Universitas Gadjah Mada, I built a live dashboard for the G-Connect flood early-warning system and contributed to IoT-based smart parking and Smart BMS research. I graduated in Electronics and Instrumentation from Universitas Gadjah Mada and trained in machine learning and deep learning through Bangkit Academy by Google, GoTo, and Traveloka.
