- 🎓 Master's student in AICYS (Intelligence Artificielle et Cybersécurité) at Université Ibn Tofaïl
- 🤖 I design and ship end-to-end AI/LLM systems: RAG pipelines, autonomous agents, and computer vision applications
- 🔐 Background in cybersecurity — IDS/IPS systems, Zero-Trust access control, biometric security
- 👁️ Deep experience in computer vision: face recognition, liveness detection, anti-spoofing
- ☁️ Comfortable across the full stack — from model to infrastructure — with AWS, Docker, and Terraform
- 🧮 Strong foundation in applied mathematics (deep learning theory, optimization, functional analysis)
- 💡 Competitive programmer — grinding Blind 75 / NeetCode 150 on LeetCode
- 🌍 Open to remote / freelance AI & data science opportunities
Languages
AI / LLM / Agents
Data & Big Data
Computer Vision & Deep Learning
Backend & APIs
Cloud & DevOps
Databases
| Project | Description | Stack |
|---|---|---|
| 🧠 Math RAG Assistant | RAG-powered assistant for solving and explaining math problems | Python, GPT, Pinecone, Flask |
| 🧑💼 HR Recruiting Agent | Multi-agent recruiting workflow automating candidate screening | LangGraph, FastAPI, Docker |
| 🛡️ FaceGuard | Biometric campus access control with real-time person/phone detection & tracking | YOLOv8, DeepSORT, InsightFace/ArcFace, Kafka, Terraform, AWS |
| 🔥 Fire Detection System | Real-time fire detection pipeline deployed on cloud infrastructure | Python, AWS, Terraform |
| 📝 itdarija | Blog platform with a block-based content editor | Flask, SQLite |
- Advanced agentic architectures (multi-agent orchestration, MCP)
- Zero-Trust security patterns applied to AI systems
- Scaling RAG pipelines for production workloads
⭐️ From fouad2789