classMLEngineer: 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"] } } defget_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" ] } defget_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" ] defget_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()).gif)
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🧠 Machine Learning & AI
- Large Language Models (LLMs)
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- Neural Networks Architecture
🧬 Drug Discovery
- Computational Biology
- Molecular Modeling
- Drug-Target Interaction Prediction
- QSAR Modeling
- Virtual Screening
☁️ MLOps & Infrastructure
- CI/CD for ML
- Model Deployment
- Performance Monitoring
- Scalable ML Systems
- Cloud Infrastructure (Azure, GCP)