I'm a Generative AI Engineer with a B.Sc. in Artificial Intelligence & Data Science (graduation project: A+ / 99%). I build across the full AI product lifecycle: from fine-tuning and RAG design to shipping production backends that actually serve the models.
I take ideas from a research notebook all the way to a deployed system, and I validate with real metrics, not vibes.
class Youssef:
role = "Generative AI Engineer"
focus = ["LLMs", "RAG", "Agentic Systems", "Vector Search"]
stack = ["Python", "FastAPI", "PyTorch", "Docker", "PostgreSQL", "Next.js"]
currently = {
"FlyRank AI": "Backend AI Engineer Intern",
"NAMAA Community": "Multimodal AI Engineer & Researcher",
}
languages = ["Arabic", "English"]
def mission(self):
return "Build AI that solves real problems, and ship it."- 🏢 Backend AI Engineer Intern @ FlyRank AI · Multimodal AI Engineer & Researcher @ NAMAA Community
- 🧪 Production-grade RAG pipelines with real retrieval metrics
- 🎯 LoRA/PEFT fine-tuning, including Arabic OCR on TrOCR
- 🤖 Multi-agent workflows and tool-use patterns
- 🏗️ MLOps: ONNX conversion, benchmarking, monitoring
- 📚 Sharpening DSA and system design
- 🎓 Teaching AI & LLMs to online learners
🏗️ CadArenaNatural language → CAD (DXF). Turns plain-English engineering commands into valid, parametric drawings. Estimated 85–90% less design time vs. manual drafting. 🎓 Graduation project, A+ (99%).
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🥗 NutriAIEnd-to-end RAG nutrition assistant. Ingestion → semantic chunking → embeddings → vector search → grounded LLM answers.
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Paste any public GitHub repo → get architecture summaries, an interactive dependency graph, and a RAG chat to query the codebase.
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Multi-tenant pharmacy platform with branch-level data isolation.
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Built for NASA Space Apps 2025: automated retrieval, cleaning and visualization of NASA earth/space datasets.
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CNN pipeline classifying emotions from audio using MFCC / spectrogram features.
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🔧 More: CadArena DXF Viewer · 🔗 All repos: github.com/Youssefx64?tab=repositories
| Languages |     |
| GenAI / LLM |      |
| ML / DL |     |
| Backend / Infra |     |
| Vector DBs |     |
| NLP |    |
| Frontend |    |
| MLOps |    |
| Tools |     |
B.Sc. in Artificial Intelligence & Data Science, Faculty of Computers & AI, Beni-Suef National University (Oct 2022 – Jul 2026)
- 🏆 Graduation Project: CadArena, score A+ (99%)
- 📖 Machine Learning · Deep Learning · NLP · Computer Vision · Data Structures & Algorithms
| Role | Organization | Period |
|---|---|---|
| Backend AI Engineer Intern | FlyRank AI (Remote) | Jun 2026 – Present |
| Multimodal AI Engineer & Researcher | NAMAA Community (Remote) | Jun 2026 – Present |
| Founder & AI Engineer | CadArena | Sep 2025 – Jun 2026 |
| AI/ML Intern (ML, CV & NLP) | National Telecommunication Institute (NTI) | Dec 2024 – Sep 2025 |
| AI & LLMs Instructor | Self-Employed, Remote | Oct 2025 – Nov 2025 |
| Big Data Engineer Intern | Huawei | Aug 2025 |
| Data Engineer Trainee | Digital Egypt Pioneers Initiative (DEPI) | Jun 2024 – Sep 2024 |
| AI Fundamentals Trainee | Zewail City of Science and Technology | Aug 2023 – May 2024 |
NVIDIA · Building LLM Applications With Prompt Engineering · NVIDIA DLI · Generative AI · NVIDIA · AI for All · Stanford & DeepLearning.AI · Supervised ML · Oracle OCI 2025 AI Foundations Associate · Microsoft Data Engineer (DEPI) · Huawei Big Data Associate · NASA Space Apps Challenge 2025