- Participating in Healthcare Organizations onboarding with National Unified Health Record (nphies): * Managing the integration with National Health Core Registry which is a core prerequisite. * Involvement in overviewing and managing onboarding activities in an Agile manner. * Contributing to key technical activities ensuring alignment with project goals and requirements. - Leading the technical activities of the National Health Core Registry (NHCR): * Participating in the successful integration of healthcare consumers into the system. * Continuously improving services to meet evolving consumer needs and industry standards. * Engaging in system enhancements, including data flows and technical architecture.- Designed and Developed Object Identifier (OID) Registry system for issuing and managing OIDs for nphies CS program: * Successfully fasted the process of issuing OIDs in a reliable way. * Designed the workflow in a way that meets HL7 and NHIC standards. * Integrated the system with involved parties to ensure better system utilization.- Proposed and implemented an AI-based clinical codes automapping solution: * Used NLP algorithms to predict the closest standard code set based on code descriptions. * Conducted a successful pilot with ICD10 codes, demonstrating the potential for the proposed.

- Designed and developed National Health Accounts system for managing revenue cycles among healthcare entities, ensuring seamless integration with existing registries and services.- Participated in a pilot study on AI in healthcare by exploring the use of AI solution for early breast cancer detection via CT scan screenings.

- Participated in AI-driven solutions development across diverse fields including robotics, safety compliance, and identity recognition, utilizing cutting-edge technologies like TensorFlow, YOLO, and neural networks.- 1st Place Winner at KAUST Challenge: Ideas and Solutions for Hajj and Umrah: * Designed an AI surveillance and statistics system incorporating Object Detection, Object Classification, and Age Estimation. * Utilized Tensorflow and YOLO for implementation. * Participated in data collection and labeling from various sources.- Designed and developed Object Detection Model for safety in construction sites: * Built a YOLO-based model for safety measurements and insurance. * Collected and labeled over 4,000 images of personnel at construction sites. * Achieved 98% test accuracy for safety compliance detection.- Built an AI Solution for masked Identity Recognition during COVID-19: * Developed a state-of-the-art neural network using Triplet Loss to identify individuals wearing masks. * Trained the network on over 750,000 images covering 10,000 identities using Tensorflow. * Although a research paper was planned, the results were not sufficient for publication.

- Developed and maintained robotics integration control panel applications using HTML, CSS, and PHP.- Designed user-friendly interfaces for real-time control and monitoring of robotic systems.- Integrated backend logic with robotics hardware for seamless communication and automation.- Optimized application performance to ensure smooth operation and responsiveness in robotics control.