Zyydoosh

About

Backend Software Engineer, currently working with Java Spring, has experience in Java/React stack

Interested in AI/NLP Field, in which I conducted my graduation project, entitled "Ranking resumes based on the Job Description Using AI and NLP techniques" Learn More

Interested to participate in any process of Arabization or localization of technologies or educational materials, whether as a volunteer or an employee.

Basic Information

Age:

24

Email:

zyydoosh@gmail.com

Phone:

Egypt (+20) 1032787893

Address:

Haram, Giza, Egypt

Languages:

(native) Arabic, English

Professional Skills

Frameworks

Java Spring

85%

Kubernates

70%

Junit

80%

Rest assured

80%

Java EE

85%

JSF / Primefaces

85%

React

85%

Next JS

40%

Keystone JS

40%

Node JS

60%

Express

60%

Programming Languages

Java

85%

Javascript

80%

C++

90%

Python

50%

Tools

Azure

AWS

ActiveMq

CircleCi

Jenkins

Keycloak

Docker

Portainer

Firebase

swagger

RancherDesktop

openLens

SonarQube

SoapUI

Platforms

Mac

90%

Linux

90%

Windows

90%

Portfolio

**Alex App**

This Mobile App is part of the digital transformation of Alexandria Government, I was responsible for it's React Admin Dashboard, which manage the mobile application, and also responsible for the backend written in Java Spring

**PAX.V**

A comprehensive PACS (Picture archiving and communication system) Medical System, web-based application with fully fledged functionality: Priors, Reporting, Measurements, Filming, Hanging Protocols, and Media Creation

**Web.V**

WEB.V" is a tele-radiology and service provider, providing a seamless integration point and" reliable connectivity hub among all IT components in the healthcare facility. It adds flexibility scalability and interoperability

**RankMe (Graduation Project)**

**AI Smart System to rank resumes based on the Job Description, using NLP and Machine Learning techniques**

**Confusion Restaurant React**

**Restaurant app using React as a practice on Coursera react course**

**Movie Review Classification**

**Classify movie reviews (as positive or negative) using NLP techniques (TF-IDF, Word2vec and Doc2vec), and machine learning classifiers (Logistic Regression and SVM)**

**Confusion Restaurant Nodejs**

Nodjs, express and MongoDB API serving as a back end for confusion restaurant app, implementing file upload, token based authentication, OAuth facebook based authentication, cross origin resource sharing, mongoose population, and practice also on cookies and sessions

**MIPS simulator**

**Basic IDE for MIPS simulator that consists of an assembler and a virtual machine, written in Java**

**TMS**

**Translation Management System to manage and monitor the whole process of translation operation, by adding translators, their tasks, deadlines...etc, written in Javascript**

**Virtual File System**

**Firtual File System written in Java to simulate Unix-Based File System**

Work Experience

July 2024 - present

_VOIS

Java Software Engineer

Technology Stack: Java Spring, AWS, Docker, Kubernates, Jenkins, Junit, SoapUI, WireMock, Postgres, RancherDesktop, openLens, SonarQube, swagger, JMS

August 2022 - Present

Penta-b

Full Stack Developer

Responsible for the full life cycle of Alexandria digital transformation backend Project, and the Admin dashboard.

Technology Stack: Java Spring, React, Material Design, Keycloak, Azure, Portainer, CircleCI.

November 2021 - August 2022

Advintic

Full Stack Developer

Working on developing PAX.V Front End Pages, which is a PACS (picture archiving and communication system) medical system, Learn More

Working on WEB.V Teleradilogy medical system, Learn More

Technology Stack: Java EE, JSF, Primefaces, Portainer.

June 2021 - August 2021

FCI - Cairo Universiy

AI/NLP Intern

Research and Develop a research predicting depression symptoms in social media posts using AI/NLP techniques, to annotate the post as one of 4 categories; Anxiety, Depression, Suicidal, and Normal.

Technology Stack: Tensorflow, Word2Vec, Doc2Vec.

Education

2017 - 2021

Bachelor's Degree

Faculty of Computers and Artificial Intelligence

Cairo University

Computer Science Dept.

GPA (3.22 / 4)

Activities: Participated in ACM community training & contests, MSP Tech Club, Scouts camps & festivals

Certifications & Awards