Muhammad Al Kalet

• Designed and developed an AI-powered ultrasound software for automatic fetal head biometry and gestational age estimation. • Implemented deep learning–based image segmentation, achieving high accuracy evaluated using the Dice Similarity Coefficient. • Applied ellipse fitting and least squares methods for precise fetal head circumference measurement. • Validated model performance across different pregnancy trimesters. • Developed a user-friendly graphical interface suitable for clinical use.

• Technical sales, service, and application support for Philips Healthcare medical equipment. • End-user training and application support for ultrasound systems. • Preventive and corrective maintenance of medical devices. • Preparation of technical offers, tenders, and presentations. • Technical customer and product support, including workshops and product demonstrations.

• Technical service and support for medical ultrasound systems. • Preparation of technical offers and presentations for clients and public tenders. • Delivered training sessions for junior engineers and end-users on ultrasound systems and their clinical applications.

• Hands-on training on ultrasound and laser medical systems. • Preventive maintenance, basic troubleshooting, and technical documentation. • Participation in technical workshops and practical training.