Developed ML and computer vision software in Python for large-scale image analysis, including deep learning models to assess image quality and quantify field-of-view. Worked on model training, evaluation, and integration with deployment pipelines, with attention to performance and robustness.

Moreover, spend some time to built and evaluated generative models (VAEs, GANs, and diffusion-based approaches) for image restoration and outpainting tasks, and trained CNN- and ViT-based architectures on large image datasets.