Tuna Meral on Superpeer

Machine Learning Researcher

With over six years of experience as a Machine Learning Engineer, I am currently pursuing my PhD in Computer Science at Virginia Tech, where I focus on enhancing image generation capabilities of text-to-image generation models. In my previous roles at Lyrebird Studio and Vispera, I architected machine learning CI/CD pipelines, automated model training, launched front-end services, and coordinated the deep learning stack transition. I gained expertise in MLOps, Python, and state-of-the-art machine learning models, as well as hands-on experience in deploying and monitoring scalable and robust solutions for image processing and computer vision applications. My mission is to leverage my skills and knowledge to create innovative and impactful products that can enhance the quality and accessibility of visual content. I am passionate about advancing the research and development of machine learning, especially in the areas of image generation, diffusion models, and contrastive learning. I am always eager to learn new technologies and collaborate with other researchers and engineers who share the same vision and goals.