As an AI developer at Alethea Medical, a med-tech company, I apply my skills and knowledge in machine learning, Python, and Tkinter to create innovative and efficient solutions for the medical domain. I am passionate about using new technologies in artificial intelligence to solve existing problems and improve people's lives and health outcomes.I have more than five years of experience in AI research and development, working on various applications such as decision making, recognition, and classification. My previous project at Memorial University of Newfoundland involved designing and developing a decision support system (DSS) software for seafarers in ice management operations, using machine learning algorithms and similarity matching. The DSS software increased the level of safety by 18% and was integrated with an ice management simulator. I also published a paper on traffic sign recognition using active learning experts, achieving 96.69% accuracy by reducing 40% of samples in the training data. I hold a bachelor's degree in computer software engineering from Guilan University and several certifications in Python, Flask, and computer vision.