مايكل ا.

Computer Engineering junior (3rd year) at Ain Shams University, specializing in Computer Vision and Deep Learning using Python.

I built an object detection and counting system for industrial parts from CCTV footage using YOLOv11m, achieving mAP@0.5 = 0.902 with real-time overlay via OpenCV. I also developed a UAV aerial object tracker using Vision Transformer architectures for AIC-4, Egypt's national AI competition, ranking Top 20 nationally among university teams.

Certified by NVIDIA's Deep Learning Institute in building generative AI applications.

Services I offer: object detection, tracking, and counting in images/video, training custom YOLO detection models, and image processing/analysis with OpenCV.

I focus on clear communication, on-time delivery, and building practical solutions tailored to your actual use case rather than generic templates.