Stanley N.

Stanley N. is a Business Development Support Technical at KWS Group, contributing to the KWS BEETROMETER®, an automated solution for sugar beet quality inspection. Prior experience includes roles as a Research Assistant in machine learning at the University of North Dakota, where a deep learning model for infrared image segmentation was developed, achieving 95% accuracy. Stanley also served as a Graduate Teaching Assistant and Graduate Research Assistant, focusing on evaluation and mechanical design. Previous positions include Project Quality Engineer at Ucak Nigeria LTD and Project Engineer at NNPC Limited. Stanley holds a Master's degree in Mechanical Engineering from the University of North Dakota, a certificate in AUTOCAD 2D & 3D MODELLING from New Horizon School, and a Bachelor's degree in Industrial Physics from Covenant University.