class AmirBenslaimi:
    def __init__(self):
        self.role = "AI Engineering Student"
        self.school = "ESI-SBA, Algeria"
        self.graduation = 2027

        self.layers = {
            "ai_research": [
                "Graph Neural Networks (GCN, GAT, GraphSAGE, GIN)",
                "Multi-Agent Systems · Decentralised Consensus",
                "Self-Supervised Learning · Medical Imaging",
                "Differentiable Optimal Transport",
            ],
            "ml_engineering": [
                "RAG · LLM Orchestration · Agentic Workflows",
                "OpenAI Agents SDK · LangChain · ChromaDB",
                "Transfer Learning · CIFAR-10 · Model Deployment",
                "MLOps · W&B · MLflow · Automated Retraining",
            ],
            "data_engineering": [
                "ETL Pipelines · Feature Engineering",
                "Pandas · NumPy · Scikit-learn",
                "Dimensionality Reduction · Clustering",
                "Synthetic Data Generation · Domain Randomization",
            ],
            "backend_engineering": [
                "FastAPI · REST APIs · Docker · Docker Compose",
                "JWT Auth (RSA-4096) · Nginx · MySQL",
                "Symfony · PHP · TypeScript · Java",
                "Git Submodules · Multi-Service Architecture",
            ],
        }

        self.tools = {
            "deep_learning":   ["PyTorch", "PyTorch Geometric", "TensorFlow"],
            "nlp_llm":         ["LangChain", "ChromaDB", "OpenAI Agents SDK", "RAG"],
            "mlops":           ["Weights & Biases", "MLflow", "Docker", "FastAPI", "Gradio"],
            "data":            ["Pandas", "NumPy", "Scikit-learn", "SQL"],
            "backend":         ["FastAPI", "Symfony", "Docker Compose", "MySQL", "Nginx"],
            "languages":       ["Python", "TypeScript", "Java", "PHP", "SQL"],
        }

    def current_focus(self):
        return "Multi-agent drone swarm coordination via GNNs — 6 architectures, differentiable optimal transport, decentralised consensus"

    def notable_projects(self):
        return [
            {
                "name": "pattern-emergence-drone-swarms-gnn",
                "type": "GNN Research Framework",
                "stack": "PyTorch, PyG, Optimal Transport",
                "desc": "6 GNN architectures for decentralised swarm coordination · million-scale physics simulation",
            },
            {
                "name": "research_assistant_app",
                "type": "Agentic RAG Pipeline",
                "stack": "Python, OpenAI SDK, ChromaDB, FastAPI",
                "desc": "LLM agent with autonomous ArXiv search + local RAG · dual FastAPI/Gradio interface",
            },
            {
                "name": "Mlops_project",
                "type": "End-to-End ML Pipeline",
                "stack": "PyTorch, W&B, FastAPI, Docker",
                "desc": "5-stage pipeline · 100+ sweeps · automated retraining from production feedback",
            },
            {
                "name": "breast-cancer-unsupervised-app",
                "type": "Medical Deep Learning",
                "stack": "PyTorch, SSL, Scikit-learn, Gradio",
                "desc": "Self-supervised learning · multi-paradigm clustering · patient similarity analysis",
            },
        ]

    def experience(self):
        return [
            {
                "role": "Full-Stack Developer Intern",
                "company": "NTA (Nouvelle Technologie d'Algérie)",
                "stack": "Symfony, Docker Compose, MySQL, JWT, PHP",
                "desc": "Multi-service cash register system · RSA-4096 JWT auth · Git submodule architecture",
            }
        ]

    def looking_for(self):
        return {
            "role": "Internship / PFE",
            "areas": ["AI Engineering", "Data Engineering", "Backend Engineering"],
            "preferred": ["Multi-Agent Systems", "GNNs", "RAG", "MLOps", "Data Pipelines"],
            "location": "Remote or Algiers",
        }

    def contact(self):
        return {
            "email": "amir.benslaimi.pro@gmail.com",
            "linkedin": "AmirBnsL",
            "github": "AmirBnsL",
            "location": "Médéa, Algeria",
        }