Architecting robust
data systems.
I bridge the gap between complex software infrastructure and hardware boundaries. Currently transforming data pipelines as a Trainee at DEPI.
Core Stack
Youssef Ashraf
Data Engineering Trainee
CS @ NUB — Class of 2028
Fedora Linux
["AI", "Systems", "Hardware"]
01. About Me The Person Behind the Code
I'm Youssef Ashraf, a Computer Science undergraduate at Nahda University (Class of 2028) and a Data Engineering Trainee at the Digital Egypt Pioneers Initiative (DEPI).
Unlike typical developers, I thrive at the intersection of Software and Hardware. My journey started with building Embedded Systems projects using Arduino and C++, which naturally evolved into a passion for Linux and System Administration.
Whether I'm customizing my Fedora kernel, wiring an Arduino robot, or building a data pipeline in Python — I am driven by a curiosity to understand how things work under_the_hood.
// Current Focus
- Building intelligent, hardware-integrated software solutions
- Learning Advanced Deep Learning (CNNs) & Model Optimization
- Designing AI & Data Science roadmaps for the community
02. Arsenal Technical Arsenal
// Tools & frameworks I build with
Languages
Data & AI
Systems & Infra
Tools & Frameworks
03. Work Featured Projects
// Selected open source contributions
Enterprise AI Data Extractor
LLM-powered web scraper that converts unstructured web pages into clean, structured JSON. Uses Langchain + Ollama for semantic parsing with Pydantic validation and anti-bot evasion.
E-commerce Price Intelligence Pipeline
Automated pipeline tracking 120+ product prices daily across 10 categories. Built with modular architecture, PostgreSQL upsert, and Airflow orchestration for production deployment.
AI & Data Science Roadmap
Comprehensive, project-based roadmap for becoming a world-class AI & Data Science professional. Covers foundations to production-grade MLOps, available in English & Arabic.
04. What's Next?
Initialize Connection
Ready to build intelligent systems? Whether it's a project, collaboration, or just a conversation — let's connect.
❯ echo "Let's build something amazing together"