Mustafa A. Elghrib

As an AI full-stack software engineer, I developed internal AI-powered tools to enhance the company's workflow through automation and text generation. My work included building a campaign builder for generating Google Ads campaigns, a conversational AI agent to assist Google Ads specialists with natural language answers, and a product description generator that creates descriptions from product images.

Published 10+ articles on Medium/Dev.to cover Backend, AI, LLMs, DevOps, and Cloud Infrastructure, helping professionals adopt best practices. https://medium.com/@maelghrib | https://mustafaelghrib.medium.com | https://mustafaelghrib.github.io | https://dev.to/mustafaelghrib - "How We Generated a 10K Dataset Using LLM to Fine-Tune Another LLM" – Medium (Jun 2024) - "Three Levels of Scrapping Data: From Basic to Advanced to Pro" – Medium (Jun 2024)

As a full-stack software engineer, I designed, built, and modernized an internal platform across web and mobile. I collaborated directly with the non-technical director, translating operational needs into functional features, delivering in agile sprints, and owning the full software lifecycle from design through deployment.

Docorvter – HTML to PDF Document Converter - GitHub Repo: https://github.com/mustafaelghrib/docorvter - Architected and deployed Docorvter, an open-source HTML/Docx to PDF converter, using Python/Django, PostgreSQL, Celery, RabbitMQ, and Redis, enabling reliable background processing of multiple concurrent document conversions. - Built and managed AWS infrastructure with Terraform (S3, RDS, ECR), ensuring reproducible environments and reducing manual setup errors by 80%.

Fuilder – Real-Time Dynamic Form Builder - GitHub Repo: https://github.com/mustafaelghrib/fuilder - Designed and implemented Fuilder, an open-source dynamic form builder, using Python/Django, PostgreSQL, and a microservices architecture, enabling real-time form creation and submission for multiple concurrent users. - Built and deployed backend services (Users, Forms, Form Builder) on Google Cloud Platform with Terraform, Docker, and Kubernetes, achieving scalable and reliable infrastructure.

As a backend software engineer, I collaborated directly with the founder, a frontend engineer, and later mentored two junior backend developers. Took ownership of backend development and API design, ensuring scalable integrations with banking systems and a seamless connection to the Flutter-based mobile app.

Hafyz: Smart Android Assistant App for Alzheimer's Disease Patients! (The Face Recognition Part) - Designed and implemented a face recognition system (99.38% accuracy) using the face_recognition library to assist Alzheimer’s patients in recognizing people. - Developed and deployed a RESTful backend API with Flask on Heroku, enabling efficient testing and seamless integration with the mobile app.

- Earned an Excellent grade for the graduation project by building Hafyz, a smart Android assistant app for Alzheimer’s patients (face recognition system, Flask REST API, Android frontend). - Volunteered as Social Media Specialist at IEEE Minia University, covering technical and business events on social media to increase engagement and visibility.