Shah Rafique
Software Engineer at Lockheed Martin
Fort Worth, Texas, United States
Summary
👤
Senior🎓
Top SchoolShah 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
4 years of employment as a software developer
Artesian Drive Public School, Mississauga, ON, CanadaHigh School, High School at Panther Creek High School, Cary, NCGraduating in Spring 2020 in Computer Science, Bachelors of Computer Science with a concentration in Data Science, Graduating in Spring 2020 in Computer Science, Bachelors of Computer Science with a concentration in Data Science at University of North Carolina at GreensboroWest Wing School, Peoria, AZClifton Public School, Mississauga, ON, CanadaMiddle School, Middle School at BASIS Peoria, AZ
Github Skills (18)
image-classification10
labeling9
storm9
classification9
google-maps9
imagery9
computer-vision9
react-native7
deep-learning7
python7
maps7
react6
mapview6
android6
ios6
Programming languages (8)
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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