I am an applied mathematics and physical sciences graduate, currently doing a PhD in computer vision. My journey started with basic machine learning applied on raw data as part of my master's thesis. It continued with a second master's degree in computer engineering and AI. After a very productive year of learning and getting hands-on experience with deep-learning models applied on both vision and audio, I dropped out of the program to pursue an available opportunity for a PhD in underwater computer vision.I love learning and take advantage of every opportunity to do so. My current interests involve image enhancement methods for low visibility scenes and amodal completion in computer vision.