Machine Learning Engineer

I have three years of work experience in Machine Learning with most of that time spent working with different Computer Vision models, from Segmentation (U-Net) to Generative Models ( Pix2Pix, FastGAN). I have solid foundation in applied linear algebra, multivariate calculus, classical machine learning, deep learning, and reinforcement learning. Additionally, I have an engineering background from my time at Amazon and know about the challenges with distributing and deploying ML models at scale. I have recently joined the MedARC group as a volunteer researcher to collaborate on diffusion models and neuroimaging. I would appreciate any opportunities in ML/AI especially within the fields of Computer Vision and Reinforcement Learning.