class MLEngineer:
    def __init__(self):
        self.name = "Anurag Trivedi"
        self.role = "Machine Learning Engineer @ SAXONY.ai"
        self.location = {
            "city": "Dresden",
            "country": "Germany"    
        }
        self.expertise = {
            "ml_ai": [
                "LLMs (LLaMA3, Mistral, OpenAI, Claude.ai, Google gemini)",
                "RAG Pipeline Development",
                "Knowledge Graphs",
                "Computer Vision",
                "NLP Research",
                "Drug Discovery"
            ],
            "mlops": [
                "Docker", "Kubernetes",
                "AWS SageMaker", "GCP",
                "MLflow", "ClearML"
            ],
            "tools": {
                "frameworks": ["PyTorch", "TensorFlow", "LangChain", "LlamaIndex"],
                "databases": ["Neo4j", "MongoDB", "AstraDB", "Qdrant", "Milvus"],
                "languages": ["Python", "SQL", "C++", "R", "JavaScript"]
            }
        }
        
    def get_achievements(self):
        return {
            "performance_improvements": {
                "operational_costs": "40% reduction",
                "model_accuracy": "35% improvement",
                "user_engagement": "40% increase",
                "query_accuracy": "30% improvement",
                "hallucination_reduction": "45% decrease"
            },
            "key_projects": [
                "Enterprise-grade conversational AI system",
                "Dual-LLM validation architecture",
                "Code-to-code-text RAG pipeline",
                "Vision Language Model for construction",
                "Digital twin system for hydrogen fuel cells"
            ]
        }

    

    def get_certifications(self):
        return [
            "Udacity Agile Software Development Scholar",
            "MIT Micro Master in Machine Learning",
            "IBM Quantum Machine Learning Summer School",
            "ETH Zurich Quantum Information For Developers"
        ]

    def get_bio(self):
        return """
        🔬 Results-driven Machine Learning Engineer with 3+ years of expertise in AI/ML
        🧪 Specialized in Drug Discovery using computational techniques
        🤖 Building enterprise-grade AI systems with LLaMA3, Mistral, Claude.ai
        📊 Reduced operational costs by 40% through innovative MLOps solutions
        🎯 Improved model accuracy by 35% using advanced fine-tuning methods
        🌟 Silicon Saxony Hackathon 2024  - AI-powered Skat game assistant
        """

me = MLEngineer()
print(me.get_bio())