Navdeep Dahiya
Staff R&D Engineer at Smith+Nephew
Atlanta, Georgia, United States
Summary
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Senior🎓
Top SchoolNavdeep Dahiya is a Staff R&D Engineer and AI/ML researcher with 15+ years of experience building FDA-oriented medical imaging and surgical robotics solutions, spanning classical vision, robotics, and modern deep learning. He designs end-to-end AI pipelines and production-grade segmentation platforms that blend deep models with interactive editing, 3D visualization, and regulatory-aware validation. At Smith+Nephew he led development of web and desktop segmentation editors and advanced 2D/3D registration for orthopedic planning, and earlier work at MSKCC and Georgia Tech produced novel 3D dose-prediction and shape-prior segmentation research. Comfortable across cloud-native backends to desktop tooling, he bridges research-grade models and deployable clinical products while contributing to regulatory submission efforts. Notably, his background in robotics and sensor systems informs robust real-world engineering—combining PhD-level research with hands-on product delivery. He is now expanding beyond healthcare AI into LLMs and broader enterprise AI applications.
8 years of coding experience
12 years of employment as a software developer
MS Mechanical Engineering, MS Mechanical Engineering at University of Wisconsin-MadisonDoctor of Philosophy - PhD Electrical & Computer Engineering, Doctor of Philosophy - PhD Electrical & Computer Engineering at Georgia Institute of TechnologyBE Mechanical Enginerring, BE Mechanical Enginerring at Delhi College of Engineering
Github Skills (59)
vtk8
optuna7
mesh7
open-science7
segmentation7
radiology7
medical7
data-augmentation7
viewer7
medical-imaging7
cornerstone7
prediction6
scientific-visualization6
computed-tomography6
python6
Programming languages (4)
Github contributions (5)
ndahiya3/algos-and-datastructures
May 2018 - Jun 2018
Contributions:75 pushes, 1 branch in 23 days
ndahiya3/kits-2019-miccai-challenge
Apr 2019 - Jul 2019
Contributions:13 commits, 12 pushes, 1 branch in 2 months
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