Develop and deploy computer vision models for Momo eKYC.

6-month internship as part of master program for Witsee, an online platform for automatic segmentation and analysis of histological images.- Experiment with the latest state-of-the-art deep learning architectures for medical image segmentation, such as U-Net and KiU-Net.- Evaluate different strategies to resolve the problem of lack of training data in medical fields, such as data augmentation and active learning.- Research and implement an active learning process within the image segmentation pipeline, in order to select the most informative images for annotation and reduce the cost of manual labelling for medical datasets.