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Hi 👋 My name is Saliou Diop

Software Developer

I graduated in February 2022 with a B.S. in Applied Computer Science Co-op from Université de Moncton. In high school, I had an opportunity to interact with computers. They have been my passion, especially in writing code. The feeling that I can create anything from several lines of code and it could be useful to other people encouraged me to pursue a career as a software developer.

  • 🌍  I'm based in Moncton, NB
  • 🖥️  See my portfolio at Website
  • ✉️  You can contact me at [email protected]
  • 🧠  I'm learning K8s
  • 🤝  I'm open to collaborating on Java, SpringBoot, React, Typescript, Node JS
  • ⚡  I speak 3 languages

Skills

C++ Java JavaScript HTML5 React CSS3 Sass Bootstrap TailwindCSS Material UI Redux NodeJS Express MongoDB PostgreSQL Heroku MySQL

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Saliou's Projects

binary-to-image icon binary-to-image

Convert executable binary file into RGB or Greyscale png image format. Repsent 8 bit binary values as pixel and create image from these. It convert one file or multiple files in a directory.

card-component-challenge icon card-component-challenge

The challenge is to build out this card component and get it looking as close to the design as possible.

dice icon dice

Implementing a simple dice games

drumkit icon drumkit

A collection of drums, cymbals and other percussion instruments

images-gallery icon images-gallery

This is an image gallery build using React J , Tensorflow JS , Netlify ,Firebase Authenticatio, React Framer Motion for Animation, and UnSplash API

linux-cluster-monitoring icon linux-cluster-monitoring

Design and implement a cluster that manage multiple Linux clusters running on CENTOS 7. It keeps track of each node’s hardware specs and monitor resource utilization in real time saved in a relational database management system

malware-detection icon malware-detection

Today, the number and variety of malware is constantly growing. Consequently, Malware detection and classification should be improved to prevent security. This article aims to create grayscale images of the malware and uses it to do so classification using deep learning.

modern-js-cheatsheet icon modern-js-cheatsheet

Cheatsheet for the JavaScript knowledge you will frequently encounter in modern projects.

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