At University of Ibadan Design Studio, I develop autonomous drones, rovers, access control systems, and biomedical devices. I integrate AI/ML for object detection, navigation, and decision-making.
At WorldClass Synergies, I designed an IoT vehicle-monitoring system using Raspberry Pi, YOLOv8, and EasyOCR. It achieved over 95% detection accuracy and reduced manual logging by 90%.
I also developed an MQTT communications pipeline for vehicle snapshots and metadata, and automated logging with Excel and SQL databases. These systems improved operational efficiency and reduced detection latency through model compression and hardware tuning.
Earlier, at Josla Electric Company, I designed IoT-enabled smart meters and optimized firmware. At WorldClass Synergies, I developed AI-integrated robotics systems and fabricated PCBs for automation and IoT.

