class BilelKort:
def __init__(self):
self.role = "AI Engineer"
self.education = ["IngΓ©nieur ESPRIT πΉπ³", "Efrei Paris β Big Data & ML π«π·"]
self.focus = ["GenAI", "RAG", "Computer Vision", "MLOps"]
self.languages = ["Arabic πΈπ¦", "French π«π·", "English π¬π§", "German π©πͺ"]
self.fun_fact = "I make repetitive tasks disappear with AI β¨"
def say_hi(self):
return "Let's build something intelligent together! π"- π I design AI agents, RAG pipelines & data platforms that solve real business problems.
- π§ I love making complex AI usable by non-technical people β dashboards, automation, clean UX.
- π± Currently deepening my expertise in Big Data & Machine Learning at Efrei Paris.
- π― Open to an apprenticeship (alternance) starting September 2026.
- π¬ Ask me about LangChain, Qdrant, vision models, or turning PDFs into answers.
| π Project | π‘ What it does | π§© Stack |
|---|---|---|
| π©Ί Clinical RAG System | Auto-analyzes 500+ clinical reports/day + live medical dashboards | LangChain Β· Mistral Β· Qdrant Β· React |
| ποΈ Visual AI Agents | Detects safety issues across multi-site video feeds β saved 12h/month | PyTorch Β· YOLO Β· InternVL Β· MediaPipe |
| π Optimized PDF RAG | Hybrid BM25 + embeddings over 100M+ chunks (+35% recall) | LangChain Β· Qdrant Β· FastAPI |
| ποΈ Data Lake (Bronze/Silver/Gold) | Multi-layer ingestion + auto data-quality alerting on AWS | AWS Β· Snowflake Β· dbt Β· Airflow |
| Language | Level |
|---|---|
| πΈπ¦ Arabic | Native |
| π«π· French | Advanced |
| π¬π§ English | Advanced |
| π©πͺ German | Intermediate |
