Back-End Engineer focused on Django, automation, and scalable systems

I build backend tools and infrastructure with a focus on developer experience, performance, and maintainability. Most of my work revolves around Python/Django applications, database optimization, and workflow automation.

A CLI toolkit for detecting and resolving Django migration issues in collaborative Git workflows.

• Uses LibCST for safe migration file rewriting while preserving formatting and comments.
• Implements dependency graph analysis to detect circular dependencies and conflicting migration states.
• Integrates with GitPython to provide branch-aware migration handling.
• Includes transactional database synchronization to help avoid InconsistentMigrationHistory issues.

• Backend: Python, Django, DRF, Django Channels, Celery
• Databases: PostgreSQL, MySQL, Redis, InfluxDB
• Infrastructure: AWS (EC2, S3, Lambda, RDS, CloudFront), Docker
• Automation & DevOps: GitHub Actions, CI/CD, automated testing

• PyAnnotator — Unified annotation interface supporting Supervisely, Roboflow, and Label Studio.
• Control Simulator — Interactive control theory learning and simulation platform.
• AI Exam Generator — AI-assisted exam generation system using genetic algorithms for question optimization.

BSc in Computer and Systems Engineering — Minia University Graduated with honors (3rd in class)

• LinkedIn: Ahmed Shehab
• Email: ahmed4ehab@yahoo.com
• Phone: +20 1554992081