FullStack (MERN) JavaScript Application Developer, creating fast & fluid applications that capture, store and analyze data.
Currently, I am advancing my conceptual & practical ability in JavaScript, JSX, TypeScript along with ML neural networks such as Tensor-FlowJS.
Follow along some of the projects I'm working on, or just stay tuned in at the sites below.
Building applications with the MERN stack and various DevOp tools such as Docker, TravisCI & Jasmine for testing code, ML for data-driven applications
Create, Maintain & Develop new and existing cross-platform applications with JavaScript, for apps that are fluid, fast and intuitive for a great UX | UI
A valuable asset to any design or development team, able to identify efficent coding strategies and dev tools for faster, properly integrated applications
Created Full-Stack MERN application leveraging Docker (DevOps). NodeJs runtime, MongoDB, Express and REACT framework are created within a Docker container at initialization.
View DetailsServer-side NODE-JS application, utilizing SQL for persitent data storage. Application written in Node-JS JavaScript runtime to demonstate server-side and database experience.
View DetailsREACT JS application leverages the power of react to create a front-end framework using JSX to manage state of components in application. Interactive UX handled via prop states.
View DetailsLanguage Interpretation and Recongition Interface with Node-JS used to create a bot that scans various apis to return data. The application will call from the Spotify, OMDB & BandsInTown APIs' to complete search request.
View DetailsStudied Full-Stack web development at Georgia Tech during where I created dynamic data-driven (MERN) applications that utilized the power of JavaScript, HTML5, & CSS3.
Developed modern business strategy for restaturants; Led restaturant SEO and online branding via Facebook and Instagram ad platforms; Responsible for the creation of a polished online presence that demonstrated past and future events.
Performed research on and off college campus for upcoming Kellogg's product launch; Compared information regarding breakfast trends among college students; Determined product viability for students short on time.