Sajjad Pakdamansavoji

About

I’m an Applied ML Research Engineer with 5+ years of experience building applied machine learning systems across LLMs, VLMs, generative AI, and multimodal learning, with a strong focus on spatial understanding, 3D vision, and embodied intelligence. My work centers on models that reason over perception, language, and action, including diffusion-based generative systems, vision-language-action pipelines, and large-scale 3D perception for long-horizon decision-making in physical environments. I enjoy tackling multidisciplinary problems at the intersection of foundation models, world models, robotics, and physical AI, and I’m especially motivated by translating research ideas into robust, real-world systems that operate under uncertainty and complex dynamics, working closely with engineers and researchers from prototype to deployment.

Experience

Education