• Working on Supervised, Self-Supervised and Contrastive Learning approaches to Alzheimer’s disease classifica- tion/subtyping based on 3D brain MRI images using ResNet, DenseNet models • Implemented computer vision tasks such as dataset preparation, preprocessing for 3D medical images • Implemented Contrastive Learning based approach proposed on related academic literature and tested on public datasets

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• Worked extensively in Pytorch, Keras to develop semantic segmentation solutions for building footprint segmen- tation by using related academic literature (UNet, Deep ResUNet, and etc.) • Improved the accuracy of image segmentation by using and modifying different models and loss functions • Modified and customized image processing approaches for the custom datasets

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• Developed a full-stack prototype of research study participant recruitment platform for KAIST researchers • Implemented features in the frontend by using React.js and extensively utilizing React hooks for state manage- ment. Implemented global authentication state management by using useReducer and useContext hooks. • Used Django REST framework to develop application backend API and token based authentication. • Published a paper of the project as a first author at Proceedings of HCI Korea 2022 conference.

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• Modified and implemented new designs of application frontend by using Flutter • Created API endpoints for processing data in the backend by using Django REST framework • Implemented JWT authentication to API server

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