Shah Nafis Rafique
Computer Scientist at University of North Carolina at Greensboro
Summary
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SeniorShah Rafique is a software engineer with eight years of practical experience building full-stack and embedded systems, currently developing C++/Qt applications at Lockheed Martin in Fort Worth. He combines a formal background in computer science with a data science concentration and hands-on ML labeling and CNN experimentation from his UNCG research project that managed ~800 GB of coastal imagery. Shah has shipped production code across defense contractors using C++, Lua, and web stacks (MERN), and has experience with Kubernetes, REST APIs, and database administration. Comfortable moving between front-end, back-end, and systems-level work, he brings a pragmatic focus on security, deployability, and measurable model-data requirements. Colleagues rely on him to translate research prototypes into maintainable engineering solutions within regulated, mission-critical environments.
8 years of coding experience
Github Skills (20)
image-classification10
noaa-data10
image-processing9
labeling9
classification9
google-maps9
computer-vision9
scientific-computing8
deep-learning8
machine-learning8
maps7
mapview6
react-native6
android5
ios5
Programming languages (7)
Github contributions (5)
FoodMobile/frontend
Jan 2020 - Apr 2020
Contributions:1 release, 43 PRs, 128 pushes in 3 months
UNCG-DAISY/Coastal-Image-Labeler
Jan 2020 - Jan 2021
Labeling Coastal Images
Contributions:2 releases, 1 review, 985 commits in 1 year
deep-learningcoastalcomputer-visionlabeling-toollabeling
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