MUHAMMAD JUNAID

I’m an AI/ML Engineer passionate about building intelligent systems using Machine Learning, Deep Learning, and Computer Vision. I focus on model training, evaluation, and optimization, turning data-driven insights into deployable AI solutions that solve real-world challenges.

Most recently, I completed intensive AI/ML Trainee work at NetSol Technologies (Pakistan), delivering hands-on Machine Learning, Deep Learning, Computer Vision, and Data Science implementations. I developed and trained models in Python using TensorFlow and Scikit-learn for classification and prediction tasks, and I contributed to computer vision work including PPE detection with image preprocessing and model evaluation.

My project experience includes a real-time PPE Industrial Safety Detection System using Python, OpenCV, and deep learning with a CNN/YOLO-based approach, where I improved detection accuracy through parameter optimization and metrics like precision, recall, and mAP. I also built a Kitchen Hygiene Monitoring System to detect safety and hygiene compliance (gloves, masks, hairnets, aprons) from real-time video feeds, leveraging a model pipeline designed for ongoing performance and reliability. I’m eager to continue applying scalable AI/ML and computer vision engineering to practical environments.