I am an ML Research Engineer at CamCom, where I work on developing computer vision systems that bridge advances in research with real-world deployment. My recent work has focused on 3D vision, scene understanding, vision foundation models, and training-free adaptation methods that enable large pretrained models to solve new tasks through in-context learning rather than additional optimization. I am particularly interested in understanding how rich visual representations and geometric reasoning can be leveraged to build robust, scalable perception systems for challenging industrial applications. Beyond my work in computer vision, I am also a hobbyist mathematician with a longstanding interest in number theory, drawn to the elegance of its ideas and the pleasure of exploring problems for their own sake.