Md. Nasif Safwan (Member, IEEE) is currently working as a Software Developer at Ledgercross. He earned the Bachelor of Science degree in computer science and engineering (CSE) with the Department of Computer Science, American International University-Bangladesh (AIUB). His research interests include machine learning, deep learning, natural language processing (NLP), computer vision, and bioinformatics, with a focus on solving real-world challenges, such as medical image classification, content moderation, and sustainable agriculture through intelligent systems. He has actively contributed to numerous research projects that are currently under review in reputable journals. He has also presented his findings at various conferences. Driven by curiosity and a passion for technology, he is dedicated to advancing innovation to address societal issues, from healthcare and environmental sustainability to online safety and bias mitigation.
Machine learning, deep learning, natural language processing (NLP), computer vision, and bioinformatics — with a focus on medical image classification, content moderation, and sustainable agriculture through intelligent systems.
Driving the lab's computational architectures, including T3SSLNet and OpthaNet, targeting medical image classification and self-supervised representation learning.
Machine learning, deep learning, natural language processing (NLP), computer vision, and bioinformatics applied to real-world systems.
Manages curated research datasets such as the Brain ND-5 Dataset, alongside multiple projects currently under review in reputable journals.
Software Developer at Ledgercross, bridging production engineering practice with the lab's research pipelines.
Leads open-source and collaborative projects spanning content moderation, sustainable agriculture, online safety, and bias mitigation.