I am an ML Researcher specializing in 3D Computer Vision and Computer Graphics, leveraging machine learning to push the boundaries of 3D content generation, view synthesis, and image manipulation. My expertise spans deep learning, generative AI, and computer vision, with a strong focus on diffusion models and neural radiance fields (NeRFs). At Ubisoft La Forge, I worked on designing generative solutions for constructing ultra-realistic face models, reducing model creation time by over 90%. I integrated state-of-the-art generative models such as StyleGAN, Real-ESRGAN, and Pix2Pix, optimizing large-scale training pipelines on GPU clusters. I also worked with Vector Institude as a Deployment of AI Models Technical Facilitator for their AI Model Bootcamp. I graduated with a master's degree in Electrical and Computer Engineering at York University, conducted research on view synthesis and image manipulation under the guidance of Prof. Nikolaus Troje and Marcus A. Brubaker. I am also a Vector Faculty Affiliate Researcher, contributing to the advancement of AI in Canada. With extensive experience in research and engineering, I have developed and deployed robust machine learning models in areas such as deep learning, natural language processing, and data analysis. I am passionate about advancing the intersection of computer graphics, computer vision, and deep learning, with a particular interest in diffusion models and NERFs.