Full-stack Developer in Sharjah, United Arab Emirates

A platform related to one of the world's largest companies in information technology services. In addition to migrating AngularJS modules to Angular 5, I was involved in adding unit tests along the way using Jasmine.

A platform for one of the world's largest companies in information technology services. This platform is used to administer managed cloud hosting on AWS and Microsoft Azure. My role involved Angular front-end app migration, code reviews, feature development, and bug fixes.

The Toptal React Academy is an exclusive learning program that teaches the React framework to select members of the Toptal network. After a month of study, all graduates are tasked with completing a 30-40 hour final project to build and deliver a React app from scratch.

I built a React app for renting bikes along with a Node.js API for which I built reusable React UI components. The app featured two authorization levels and used Redux and Redux-observable for state management.

An app that allows users with different authorization access levels to keep track of their daily caloric intake and provides useful analytics. I built a single-page application, the API service, and the database design.

A sample application that demonstrates an architecture for building Node.js back-end services using the command-query responsibility separation principle and event sourcing.

Code:
https://github.com/youssefsharief/nodejs-cqrs-commander
https://github.com/youssefsharief/nodejs-cqrs-web-api-read-model
https://github.com/youssefsharief/nodejs-cqrs-event-handlers
https://github.com/youssefsharief/nodejs-cqrs-e2e

A scraper that scrapes users and saves users that fit a specific criterion in a database. It was built with JSDOM, InversifyJS, and Requests, and it uses various third-party APIs to help analyze the data, such as a gender guesser.

An automator that allows users to supply a set of users and a set of questions and then bypasses reCAPTCHA to ask the questions. (I used an external API for reCAPTCHA.) The automator is smart enough not to ask a single user a question more than once and not to flood the user with all the questions it has to ask simultaneously. In this way, it does not appear as though a bot is performing the tasks.

An end-to-end Arabic text-to-speech system I developed, which turned out to be the best open-source Arabic TTS in terms of natural speech.

Audio Samples: https://youssefsharief.github.io/arabic-tacotron-tts

A reservation system with real-time notifications and authorization access layers. My role involved building the admin panel and developing the back- and front-end of the Socket.IO notification system.

A quiz platform that featured quizzes for employees at Merck, the multinational pharmaceutical company. The system consisted of a Node.js back end, an Angular admin panel, an iOS app, and an Android app.

I architected and developed the back end and the admin panel. The back end involved multilayered MongoDB aggregate queries, CRUD operations, and authentication for the mobile app and the admin panel. The admin panel involved CRUD operations for various entities and for displaying quiz results and statistics for each quiz category, company department, and user.

An app that allows users to add donation places, including drives and places. The donation places are viewed on a map and in a list that provides back-end pagination, filtering, and search.

Server: https://github.com/Life-Saving-Team/donation-places-server
Client: https://github.com/Life-Saving-Team/donation-places-client

An app that allows users to manage their laundry and dry cleaning accounts. My role involved fixing bugs on the Node.js back end and developing features on the client-side AngularJS app.

A solution that allows IoT device owners to save their data securely and grant access to their data without relying on third-party providers. It utilizes blockchain, IPFS, and a hybrid encryption approach, specifically symmetric and asymmetric. I used the Ethereum smart contract platform and React, web3.js, and Redux on the front-end.

A Node.js back-end service and an Angular app that allows donors to register by clicking on their location on a map with search and location functionality. The map adds, deletes, or updates a donor's location, which is reflected in real time without the need for page refresh for other observers, including donors and patients.

A platform that is concerned with online buying, selling, and bidding services. My role involved building Angular views, adding unit and end-to-end tests, and providing functionality through a mock API.

A research exploration I performed while earning my master's degree at The University of British Columbia (not a project). This research involved utilizing NLP to infer whether a commit was a bug fix by using metadata, such as the commit message. I used a GraphQL API.

A system that allows users to register for a particular building and find out if anyone in the building is infected with COVID-19. I used Airtable as a database and Twilio for phone verification and for admins to change a building status. I built this with React and Redux for the front end and Node.js for the back end.

A decentralized React app that allows patients to share their private medical data securely with selected doctors without the need for cloud storage. It depends on the blockchain with an Ethereum smart contract, IPFS, and a hybrid encryption approach, both symmetric and asymmetric. In addition to React, I used Redux on the front end for state management and web3.js for interacting with Ethereum nodes.

A Chrome extension that calls a database to check the status of Ask.fm users when visiting their Ask.fm profile page. I used React for the UI and tools like crx-hotreload for a better developer experience.

Two React courses I provided on YouTube—one in Arabic and the other in English. The courses explain the basic concepts of React and Redux. Please refer to the GitHub URL for the links to the YouTube playlists.

A research exploration I performed during my master's degree at UBC (not a project). In this research, we wanted to determine if we could detect fixed bugs in open-source projects using static analyzers. I automated the process of cloning GitHub repositories, performing diffs along the repository commits, extracting and saving affected files for each commit, and performing linting operations on those files.

Microservices that deploy an Arabic text-to-speech system based on Tacotron neural network architecture. The system includes these four microservices:

1. An Angular app deployed on Zeit.
2. A synthesizer deployed on a server that has a GPU in Google Cloud Platform (GCP).
3. An Arabic diacritizer deployed on Heroku.
4. A controller deployed in Heroku that turns on and off the GPU server, communicates with the diacritizer, and interfaces with the front-end app.

I also used Google Cloud Storage to store machine learning models and another GPU server in GCP for training.