Conducted weekly Zoom sessions, delivering tutoring and programming support to students enrolled in the UofM's Joy of Coding programming course, resulting in an outstanding student passing rate of over 80%.

-Collaborated with a multidisciplinary research team to engineer an autonomous apple-picking robot. -Generated a robust dataset comprising 100+ images to train neural networks effectively. -Pioneered the development of a fully convolutional neural network using semantic segmentation techniques, achieving an impressive 90% accuracy in detecting tree trunks from orchard images. -Facilitated weekly progress meetings, actively contributing to discussions and addressing queries. -Concluded the project by delivering a comprehensive final presentation and submitting thoroughly documented code.