Nayem works in the field of Machine Learning and Deep Learning. He received his Bachelor of Science degree in Computer Science at Independent University, Bangladesh in 2019. He has keenness for interdisciplinary research. His work with CVCR involves Remote Sensing image analysis and segmentation. He is currently working towards making the first Land Use and Land Cover(LULC) dataset for important areas in Bangladesh. The goal of this project is to gather Very High Resolution (VHR) RS data along with relevant statistics and develop deep learning models to segment into LULC classes which will help the stakeholders to make better decisions to, detect changes, prevent disasters, plan accordingly and enable monitoring systems among other applications. He has worked on IoT, Android apps development, Web apps development, Machine Learning, Neural Networks and Geographic Information Systems (GIS).