Jahdiel Nyan

I've built Python-based machine learning and computer vision systems, including an AI Sports Commentary Generator that combines ResNet50, LSTM, OpenCV, and Streamlit for real-time video-to-commentary inference.

For my final-year Weapons Detection and Surveillance project, I integrated YOLOv8/v11 and OpenCV into a real-time threat-detection application. I improved preprocessing and augmentation pipelines and achieved 77.93% real-world accuracy on Raspberry Pi and ESP32-CAM hardware.

At the Nigerian Electricity Regulatory Commission and Nigerian National Petroleum Company, I diagnose hardware, software, network, VPN, and IP configuration issues while maintaining precise technical documentation. I contribute to workflow and infrastructure improvements through systematic troubleshooting.

I'm a Computer Engineering graduate who values modular architecture, maintainable code, performance profiling, and reliable deployment. I work independently on end-to-end projects and communicate technical decisions clearly for both technical and non-technical audiences.