Marzoog AlGhazwi
Eastern Province, Saudi Arabia · marzoog.m.alghazwi@gmail.com
Hi there 👋 I'm Marzoog AlGhazwi. A Computer Scientist & Content Creator with a passion for Machine Learning, Artificial Intelligence especially in the field of Computer Vision, Cyber Security, and Software Development.
skills
Languages, Operating Systems & Tools
Python
Java
git
linux
bash
TypeScript
JavaScript
Angular
Express.js
Node.js
nestjs
pytest
postman
ZAP
DataBases
PostgreSQL
MongoDB
Architecture
REST APIs
RabbitMQ
Microservices
Containers & Cloud
Docker
Google Cloud
AWS
Content Creation
Photograpy & Photo Editing
Videography & Vidoe Editing
projects
A collection of projects:
University of North Texas AI Summer — Creating a Speaking Engagement Index for Speech Therapy Assessment using Deep Learning:
- Worked with a team of six to implement an autoencoder to analyze the effect of dimension reduction on a machine learning model.
- Implemented Google Speech API to an Android application.
- The research aims to help medical professionals diagnose patients with autism.
experience
Penny Softwere
I worked as QA Engineer with the QA team to develop and maintain end-to-end automated testing using TestCafe and perform manual tests. Discover, report bugs and follow up with the fixes. Designed and developed a toolkit to speed up the manual testing process. Conducted penetration testing to discover and report vulnerabilities. Collected and tested clients' cyber security requirements.
Saudi Aramco
Analyse SAP applications
education
Full stack JavaScript Developer NanoDegree
Node.js, TypeScript, Express.js, PostgreSQL, Angular, AWS
Artificial Intelligence
Course Final project, Emotion Detection (using images): worked with a team of four to design, implement, train, and evaluate a deep learning model to detect emotions from a set of labeled images. For this project we used python as a programming language utilizing numpy, pandas, matplotlib, kerase, TensorFlow, openCV, and Albumenations libraries. At the end we made a mode with 90% accuracy.
Computer Science
Graduated Magna Cum Laude, with a 3.77 CGPA. Excelled in all major related courses and grew an interest in AI and Computer Vision.
Medical School
Started as an English as a Second Language (ESL) Student for the first year. Completed 43 credit hours towards a degree in medicine.