class AIEngineer:
def __init__(self):
self.name = "Yassine Mazhare"
self.title = "AI & RAG Systems Developer"
self.specialization = "Building intelligent systems that understand, retrieve, and generate"
self.ai_expertise = {
"rag_systems": ["Vector Databases", "Embedding Models", "Semantic Search"],
"ai_tools": ["LangChain", "OpenAI API", "Hugging Face", "ChromaDB"],
"ml_frameworks": ["TensorFlow", "PyTorch", "Transformers", "LlamaIndex"]
}
self.fullstack_skills = {
"frontend": ["React", "Next.js", "TypeScript", "Tailwind CSS"],
"backend": ["FastAPI", "Node.js", "Python", "API Development"],
"databases": ["PostgreSQL", "Supabase", "Pinecone", "Weaviate"],
"deployment": ["Vercel", "Docker", "AWS", "Cloud Functions"]
}
def build_rag_pipeline(self, documents: str) -> str:
"""Advanced RAG implementation with semantic search"""
return f"Processing {len(documents)} documents → Embeddings → Vector Search → LLM Generation"
def current_focus(self) -> list:
return [
"🤖 Multi-modal RAG systems",
"🔧 AI-powered development tools",
"📊 Intelligent document processing",
"⚡ Real-time semantic search engines",
"🌐 Full-stack AI applications"
]
def __str__(self):
return f"{self.name} - {self.title} | {self.specialization}"
# Always building the future of AI-human interaction
yassine = AIEngineer()
print(yassine) # Yassine Mazhare - AI & RAG Systems Developer | Building intelligent systems...Popular repositories Loading
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