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Hello There 👋!

Hello there, my name is Shah Nafis Rafique. I have a Bachelor of Science in Computer Science from the University of North Carolina at Greensboro and a Minor in Mathematics. I am currently maintaining a Secret level Federal clearance.

  • Experience
  • Projects
  • Resume

Experience

Lockheed Martin

Software Engineer

February 2022-Present
  • Software Engineer at Fort Worth, Texas, supporting the F-35 program working with various languages and technologies.
  • Supported projects are mainly using C++, QT, and Rancher. With a bit of Linux thrown in.

Peraton

Software Engineer

February 2021-February 2022
  • Developing in the Metroplex program in Lua creating High Speed Guards for validating data transfer in HTTP/TCP requests.
  • Working deploying Kubernetes containers via Rancher.
  • Creating validation lua scripts and tests to pass against client ruleset and leading design discussions/implementations for better efficiency and flexibility
  • Created Unit and Integrated tests.
  • Using Red Hat Enterprise Linux environment
  • Working in an agile environment

Northrop Grumman Defense Systems

Associate Software Developer

August 2020-February 2021
  • Developing in the Combat System Simulations Development program in C++ and Lua.
  • System debugging with centralized implementation and effect.
  • Working in applications involving (MFC) Microsoft Foundation Class Library for both backend and frontend development.
  • Replicating GUI from Joint Tactical Terminal application into Common Connectivity Device application to support Navy training.
  • Gaining experience in an agile environment for code delivery

University of North Carolina at Greensboro, Office of Research and Engagement

Full Stack Developer

August 2019-October 2020
  • Developed web application in Nodejs, Nextjs, and MongoDB to allow for collaborative image labeling of 800 GB for supervised machine learning development.
  • Application allowed for labeling for 1000 images in a day's work, resulting in significant data processing over traditional methods.
  • Analysis of data created by application from 300 images allowed for better technical recommendations to increase model accuracy.

Supplemental Software at Greensboro

Front-end Web Developer

June 2018-June 2019
  • Developed front-end systems and social media applications based on design specifications using HTML, CSS, and JavaScript.
  • Rapidly acquired front-end language skills allowing for the development of 2 products within 1 year.
  • Improved requirements' documents by communicating with necessary shareholders resulting in clearer and more detailed design specifications.

Projects

FoodMobile

  • Developed a food truck app useful for consumers and food truck drivers/business owners.
  • Developed using React-Native, Expo, and React-Native-Paper for front-end.
  • Apps showed the location of food trucks, offered menus, orders, and reviews.
  • GitHub Repo.
React-Native
JavaScript
HTML
CSS

Coastal Image Labeler

  • Next.js web application for collaborative image tagging.
  • Uses Node.js, MongoDB, and Microsoft Azure for hosting.
  • CI/CD with GitHub Actions.
  • Authentication with Auth0.
  • Data produced by the site is used for supervised image prediction.
  • GitHub Repo
  • Documentation
Nodejs
TypeScript
HTML
CSS
React
Next.js
Express.js
MongoDB
GitHub Actions

Portfolio Site

  • This site itself!
  • Backend is Strapi CMS.
  • Frontend is Next.js hosted on Vercel.
TypeScript
Next.js
Strapi CMS

Resume

Click here to download my current resume as of Aug 25th 21.
Github - Linkedin
nafis.shah@gmail.com
Version: 1.0.0