- Analysis of Gastrointestinal images with lesions using deep learning (Vision Transformers) techniques. - Built, trained, and fine-tuned large models while achieving high accuracy.- Our project was awarded 1st place in the 2023 Surgical Innovation program. We are the finalists in the McGill Dobson Cup competition and McGill Clinical Innovation Competition.The Surgical Innovation Program is a cross-disciplinary graduate program that equips trainees to enter the clinical technology sector. Trainees work in as part of an innovation cross-disciplinary teams to learn about the innovation process for new Surgical Devices by doing it. The program is based on the highly successful innovation model of Needs Identification-Invention-Implementation.https://www.mcgill.ca/medsimcentre/innovation/surgical-innovation-program

COMP 371 - Graphics Design-Lab demonstrator of OpenGL-Marker for student projects-Acheived full score on students' feedback for TA evaluationCOMP 232 - Discrete MathematicsCOMP 376 - Introductory to Game Development- Deliver game Design logic- Instruct the usage of Unity- Prepare materials (C# scripts, assets) for examCOMP 476 - Advanced Game Development- Deliver game Design logic- Instruct the advanced usage of Unity (Physics, AI) and optimization- Prepare materials (C# scripts, assets) for exam and assignmentsCOMP 6321 - Machine Learning- Instruct usage of PyTorch- Explanation of ML concepts