As an AI Engineer at Loop Teck, I apply my skills and knowledge in deep learning, AWS, REST APIs, and other technologies to develop and integrate AI solutions for various domains and clients. I work with a team of talented and passionate engineers who share my vision of using AI to solve real-world problems and create positive impact.I am also pursuing my Master of Science in Artificial Intelligence at National University of Sciences and Technology (NUST), where I am learning advanced concepts and techniques in AI, such as natural language processing, computer vision, and reinforcement learning. I am particularly interested in applying AI to the field of healthcare, and I have published a paper on a novel framework for grading osteoarthritis using structural features from X-Ray images, KOOS questionnaire, and flexion angle. This paper was presented at the IEEE-ICODT2 conference and received positive feedback from the reviewers and the audience.Prior to joining Loop Teck, I was an AI Engineer at HealthHub, where I worked on a project that involved building and deploying a deep learning model for detecting and classifying skin lesions using image data. I also have experience as a Google Developer Student Club Lead, where I organized and led workshops, hackathons, and community events to promote and educate students about Google technologies and products. I have earned multiple certifications and honors in the field of AI, such as the MTA: Introduction to Programming Using Python, the Deep Learning Specialization, and the Runner Up COMPPEC award.I am a resilient and curious person who wants to explore the best of my potential in the field of Computer Engineering. I am looking forward to serving in an environment that provides me with challenges and learning opportunities to enhance my capabilities. I am also passionate about sharing my knowledge and skills with others, and contributing to the AI community and society at large.