Summary
Mosam Dabhi is a doctoral student at Carnegie Mellon University with a decade of experience building perception and robotics systems that give machines “world awareness” through 3D/4D spatial labeling and lightweight multimodal models. His work spans academic robotics (nonlinear MPC, aggressive flight control, motion planning) and applied research at Apple across multiple internships focused on Vision Pro—autolabeling, few‑shot OOD adaptation, retrieval, and 3D vision. He blends rigorous control and planning foundations from his MS in Robotics with cutting‑edge computer vision and machine learning research in his PhD. Mosam’s projects emphasize practical data efficiency—active labeling and retrieval-augmented approaches—to scale perception in the wild. Based in Pittsburgh, he moves fluidly between theory and product-relevant prototypes, having repeatedly contributed to cross-disciplinary teams that bridge robotics and AR/3D perception.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Electrical and Electronics Engineering, Bachelor of Technology - BTech Electrical and Electronics Engineering at National Institute of Technology Surat
Doctor of Philosophy - PhD Computer Vision Machine Learning, Doctor of Philosophy - PhD Computer Vision Machine Learning at Carnegie Mellon University
Gujarati, Hindi, English