Experience encompasses practical application of artificial intelligence, machine learning, and real-world systems, demonstrated through projects such as electric power consumption forecasting with advanced models, development of a voice-control autonomous vehicle integrating speech recognition and IoT, and AI/ML-driven liver cancer research for early detection and classification on biomedical data, showcasing proficiency in data science, intelligent systems, and research applications.