Loris Bazzani

Background

About Loris Bazzani

I am an AI Research Leader with 15+ years of experience advancing AI, from classical computer vision and machine learning to today’s foundation and multimodal generative models. My core strength lies in driving innovation: developing new models that push the state of the art and translating them into real-world products at global scale. At Amazon, I led high-impact core research and product efforts across Prime Video, Alexa, and mobile/.com shopping. I co-developed novel models and architectures for video understanding, vision-language representation, Large Multimodal Models (LMMs), and diffusion models. My work powered AI-driven features such as live sports highlights, virtual try-on, interactive product recommendations, and shopping assistants, used by millions of users worldwide and generating O(XXM) USD in business impact. I pioneered Amazon’s first deep learning models for video understanding and LMM-based shopping experiences, laying the foundation for new product directions and research programs across the company. My research has been published in top-tier venues including CVPR, ICCV, ECCV, and ICML, with contributions spanning vision-language training, video understanding, generative models, and LMMs. I’ve authored 50+ publications and granted patents, and actively serve the scientific community as a reviewer and workshop organizer. I thrive in fast-paced, cross-functional environments, collaborating with scientists, engineers, and product leaders to turn foundational research into scalable solutions. My goal is to build AI systems that are both technically groundbreaking and product-relevant. Portfolio: lorisbaz.github.io Google Scholar: & hl=en Outside of work, I cultivate multidimensional growth through meditation, running, playing different instruments, and continuous learning.