class KaoutarBenCharef:
role = "AI Engineer"
focus = ["Generative AI", "NLP", "RAG", "MLOps", "AI Products"]
mindset = "Build useful, explainable and production-ready AI systems"
currently = {
"looking_for": "CDI in AI / Machine Learning / NLP",
"location": "Paris, France",
"portfolio": "kaoutar-bencharef-portfolio.vercel.app"
}
def value(self):
return "From data to model, from model to API, from API to real product."
|
AI systems that can reason, retrieve information, analyze documents and generate structured outputs. |
NLP pipelines, embeddings, similarity scoring and contextual recommendation systems. |
|
Document understanding, source-grounded answers, hallucination control and evaluation. |
FastAPI backends, Docker deployment, dashboards, monitoring and MLOps workflows. |
|
LLMs · RAG · Agents · Prompt Engineering |
FastAPI · Docker · APIs · CI/CD |
NLP · Embeddings · MLflow · Monitoring |
“I don’t just train models — I build AI systems that connect data, intelligence and real business value.”