Dayne Fradejas is a college instructor at Romblon State University, where he specializes in teaching and research in Machine Learning and Computer Vision. He earned his Master of Engineering in Artificial Intelligence and a Bachelor of Science in Computer Engineering, building a strong academic foundation in data-driven technologies. His research focuses on lightweight deep learning models, facial feature detection, medical image analysis, smart campus initiatives, and portable health monitoring systems designed for communities with limited resources. With almost five years of professional experience as a Python developer, he has applied his expertise to projects involving deep learning, computer vision, and multivariate time series forecasting. He is a member of the Institute of Computer Engineers of the Philippines (ICpEP R4B). He actively contributes to international conferences, where he presents his work on innovations that address educational transformation, healthcare solutions, and the integration of artificial intelligence in practical applications. Dedicated to advancing both his field and the communities he serves, Dayne continues to align his teaching and research with meaningful contributions to technology and society.