Robert Angelo Tulagan

Engineered a drone-based CV pipeline achieving >80% accuracy at a 44m range for real-time victim identification in post-disaster scenarios. Designed and implemented a Raspberry Pi-powered IoT greenhouse with MQTT/HTTP integration and automated data fallback for 100% uptime. Developed a 3D storm forecasting platform using 180+ years of IBTrACS data and Nvidia/Pangu AI in partnership with Manila Observatory.

Research and Development Intern - Ateneo de Manila University (Innovation Center)

(2026-01 - 2026-04)

• Engineered a drone-based CV pipeline achieving >80% accuracy at a 44m range for real-time victim identification in post-disaster scenarios.
• Designed and implemented a Raspberry Pi-powered IoT greenhouse with MQTT/HTTP integration and automated data fallback for 100% uptime.
• Developed a 3D storm forecasting platform using 180+ years of IBTrACS data and Nvidia/Pangu AI in partnership with Manila Observatory.
• Optimized a TuYa-based weather station model, increasing rain prediction recall to 80%+ to support crop protection for farmers in Candaba.

Bachelor of Science - Information Technology - Technological Institute of the Philippines (2026-09)