AI Engineer who takes LLM, RAG and agentic systems from experiment to production: retrieval design, fine-tuning and quantization, evaluation gates, observability and deployment. Founder of CadArena (text-to-CAD platform, A+ / 99% graduation project, 255 commits) and creator of Sanad (Arabic legal RAG system with hybrid retrieval, P95 418 ms at 49.4 RPS). AWS Certified AI Practitioner.
Get to know me
I am an AI Engineer specializing in taking Large Language Models, production RAG pipelines, and deterministic agentic systems from research to real-world deployment. Combining an academic foundation in AI & Data Science with hands-on systems architecture, I design resilient software that bridges cutting-edge machine learning with deterministic reliability.
Rather than relying on naive API wrappers or black-box predictions, my engineering philosophy centers on verified accuracy and enterprise scale: hybrid retrieval architectures (dense vector + BM25 + Reciprocal Rank Fusion), strict grounding guardrails that eliminate hallucinations, automated CI/CD quality gates, and high-throughput microservices capable of sub-second response times under heavy load.
Beyond enterprise engineering, I actively contribute to open-source benchmarks, LLMOps cookbooks, and multimodal Arabic AI research with the NAMAA Community. I am driven by the challenge of turning complex generative AI models into predictable, scalable, and impactful solutions.
Technical Arsenal
56 skills across 7 domains
Curated Headline Reel — Cross-Referenced Experience Evidence
Empirically proven technologies validated across production deployments
Portfolio
End-to-end AI systems, NLP pipelines, Computer Vision models & developer tools.
33 projects
A+ Capstone Project (99%)
A+ Capstone (99%) · 255 Commits · EBC 2023 Gate
Text-to-CAD platform with an Egyptian Building Code (EBC 2023) quality gate and RAG layer (A+ / 99% graduation project, 255 commits, live demo). Turns Arabic/English prompts into architectural floor plans exported as DXF. Features 40+ API endpoints, 30+ React components, 120+ tests, Docker deployment; estimated 85–90% faster than manual CAD drafting.
P95 418ms @ 49.4 RPS · 1,149 Legal Articles · 0% Errors
Hybrid retrieval (Qdrant dense + BM25 + exact-article lookup, RRF k=60) over all 1,149 Egyptian Civil Code articles with grounding guardrails. Compared 8 configurations in MLflow, CI RAGAS gate (faithfulness 0.90), and Locust load-tested at 49.4 RPS (P95 418 ms, 0% errors over 14,820 requests).
568K Trans · MLflow & ONNX · Stratified 5-Fold
Config-driven end-to-end MLOps pipeline on 568K transactions: data leakage audit (excluded ID feature correlated r≈0.86 with label), stratified 5-fold CV, and metric-based quality gates (PR-AUC, precision/recall) evaluating Logistic Regression, Random Forest, and XGBoost. Features MLflow experiment tracking & model registry, FastAPI inference API with Pytest test suite, Docker containerization, and ONNX runtime export with latency benchmarking.
QLoRA Qwen2.5 · Hugging Face Live Demo
QLoRA fine-tune (NF4, r=16) of Qwen2.5-1.5B-Instruct on a curated Ashaar-based instruction set (10 poetic themes, 1–4 verses) using a single T4. Published on Hugging Face with an interactive streaming Gradio demo Space.
16 Quant Methods · T4 GPU Benchmarks
Open reference notebook covering 16 quantization sections (from-scratch affine/group-wise, GPTQ, AWQ, GGUF K-quants, bitsandbytes NF4/LLM.int8, HQQ, SmoothQuant, KV-cache, QLoRA, QAT) benchmarked on model size, Wikitext-2 perplexity, tokens/s, and peak VRAM on a free T4 GPU.
Full-Stack RAG SaaS · 114 Commits · pgvector/Qdrant
Full-stack RAG SaaS (114 commits): PDF/TXT ingestion, chunking, embeddings, pgvector/Qdrant search, switchable LLM providers (Cohere/OpenAI), JWT auth, per-user knowledge bases, Prometheus metrics, and Docker deployment.
AST Dependency Graph · Celery & Clean Arch
Analyzes any GitHub repo: LLM architecture summary, interactive dependency graph (files → classes → functions), hybrid static + LLM bug detection, refactoring diffs, and RAG Q&A with citations. Built with Clean Architecture (Factory/Visitor/Strategy), Celery workers, WebSocket progress, and 18 tests.
AI Engineer Ubuntu CLI · 5★ & 3 Forks on GitHub
Ubuntu CLI that scaffolds NLP/CV/ML projects, inspects datasets (CSV, Excel, JSON, Parquet) and diagnoses Python/CUDA/GPU health. (5 stars, 3 forks on GitHub).
Career & Background
10 positions in AI Engineering, RAG Systems, LLMs & MLOps
CadArena, Capstone Project, Beni-Suef National University
Beni-Suef, Egypt (Remote)
"Developing production-grade text classification, semantic search, and LLM fine-tuning pipelines."
Key Responsibilities & Impact
Technologies & Core Competencies
Beni-Suef National University
Beni-Suef, Egypt
Built a strong academic foundation in Artificial Intelligence and Data Science, combining rigorous theoretical knowledge with extensive hands-on engineering experience across Machine Learning, Deep Learning, NLP, Computer Vision, Information Retrieval, Big Data Analytics, Distributed Systems, Software Engineering, and AI Mathematics. Throughout the program, developed, implemented, and evaluated intelligent systems while applying research-driven methodologies to solve real-world problems. This academic journey culminated in CadArena, an AI-powered platform that integrates LLMs, Retrieval-Augmented Generation (RAG), and CAD automation to generate engineering drawings from natural language, achieving A+ (99%) in the Capstone Project.
AWS Certified AI Practitioner
Manara Tech — AWS AI Practitioner Fellowship
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Building LLM Applications With Prompt Engineering
Generative AI Summer Training Program (Beginner Level)
AI for All: From Basics to GenAI Practice
Getting Started with Deep Learning
AI Fluency: AI Capabilities & Limitations
Supervised Machine Learning: Regression and Classification
Natural Language Processing (NLP) Summer Training
Deep Learning
Working with Llama 3
Introduction to AI Agents
Understanding Prompt Engineering
Build with AI Masr Edition
NASA Space Apps Challenge Participant
Digitopia Innovation & Technology Certification
AI & Data Science — Microsoft Data Engineer
Business English Track
Huawei Big Data Associate
HCIA — Big Data V3.5
Docker For Absolute Beginners
Linux For Absolute Beginners
PyTorch
Introduction to Shell
Introduction to Docker
Software Engineering Principles in Python
Intermediate Git
Introduction to Git
Introduction to SQL
Introduction to Deep Learning with PyTorch
Computer Vision
Introduction to Machine Learning
Introduction to Deep Learning
Introduction to Cybersecurity
Programming in C++
Excel Formulas Essential Training
Microsoft Word Masterclass Training
Python Programming Basics
Git and GitHub
Fundamental Course in Quantum Computing 2.0 (101 level)
Causes Course
Professional Diploma in Scientific Research
MLOps Practitioner Course
1 / 44 certificates
Endorsements & Feedback
Verified endorsements from engineering mentors, project advisors, and colleagues on LinkedIn.
Team Member & ColleagueReally proud to know Youssef 🙌 He's talented, dedicated, and always brings great value to any team he's part of.
Graduation Project MentorI had the pleasure of mentoring Youssef during his graduation project, where he served as the team lead. Throughout the project, he demonstrated strong leadership, took ownership of key decisions, and consistently delivered high-quality work. Youssef is proactive, quick to learn, and always open to feedback. His ability to lead the team while executing critical technical tasks made him stand out. I'm confident he'll be a great addition to any engineering team, and I wish him continued success in his career.
Former Senior Peer & MentorI had the pleasure of teaching and mentoring Youssef during his studies in the AI department. Throughout his studies, he consistently demonstrated a strong understanding of fundamental technologies and artificial intelligence concepts. He has an excellent ability to quickly grasp new technologies and apply them effectively in practical projects. His technical knowledge, combined with his passion for continuous learning, allows him to adapt to new challenges and stay up to date with the latest developments in the field. One of his standout qualities is his project leadership. He takes initiative, collaborates effectively with team members, and successfully guides projects from planning to implementation while maintaining high-quality standards. I highly recommend Youssef to any organization seeking a talented AI professional with strong technical expertise, leadership potential, and a commitment to lifelong learning.
GIVING BACK
Helping students and career-switchers break into AI Engineering — one free call at a time.
I mentor people starting out in AI Engineering, LLMs, and RAG systems — from your first roadmap and project, to interview prep and landing your first role. No fluff, just practical, hands-on guidance from someone actively building and shipping AI systems today.
A focused video call to talk through your roadmap, a technical blocker, career direction, or interview prep.
Send me your project, RAG pipeline, or portfolio — I'll walk you through detailed, actionable feedback.
WHO THIS IS FOR
Your first 20-minute call is free — no strings attached. If it's a good fit, we'll continue with a paid mentorship track after that.
✓ 100% Free · No credit card required · Instant confirmation
Let's work together
Whether it's a RAG system, LLM integration, or full AI pipeline — I'd love to build it with you. Get in touch below!
