Mosam Dabhi

Doctoral Student at Carnegie Mellon University

Pittsburgh, Pennsylvania, United States
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Summary

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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.
code10 years of coding experience
job5 years of employment as a software developer
bookBachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at National Institute of Technology Surat
bookDoctor of Philosophy - PhD, Computer Vision, Machine Learning, Doctor of Philosophy - PhD, Computer Vision, Machine Learning at Carnegie Mellon University
languagesGujarati, Hindi, English
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Github Skills (36)

tailwind9
html8
react8
vue8
eigen6
motion-capture5
3d5
tensorflow5
self-supervised-learning5
scientific-publications4
pose-estimation4
open-access4
flask4
deep-learning3
python3

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

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Contributions:141 pushes, 5 branches in 5 years 2 months
Contributions:21 commits, 18 pushes, 1 branch in 7 years
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