I'm a vision & perception engineer (CMU MS '25) focused on 3D reconstruction, tracking, and multi-sensor fusion. I turn messy visual and inertial data into reliable maps, poses, and signals. I've shipped open-source tools, optimized PyTorch inference, and built calibration/evaluation workflows. I care about readable code, tests, and clear benchmarks, and I'm excited to tackle challenging perception problems in robotics, AR/VR, and intelligent systems.