senior-prompt-engineer

Expert guidance on prompt optimization, LLM evaluation, and agentic system design for production AI applications. World-class senior prompt engineer skill for production-grade AI/ML/Data systems. This skill covers world-class capabilities in: Languages: Python, SQL, R, Scala, Go ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost Data Tools: Spark, Airflow, dbt, Kafka, Databricks LLM Frameworks: LangChain, LlamaIndex, DSPy Deployment: Docker, Kubernetes, AWS/GCP/Azure Monitoring: MLflow, Weights & Biases, Prometheus Databases: PostgreSQL, BigQuery, Snowflake, Pinecone Comprehensive guide available in references/prompt_engineering_patterns.md covering: Complete workflow documentation in references/llm_evaluation_frameworks.md including: Technical reference guide in references/agentic_system_design.md with: Enterprise-scale data processing with distributed computing: Production ML system with high availability: High-throughput inference system: Latency: Throughput: Availability: As a world-class senior professional: Technical Leadership Strategic Thinking Collaboration Innovation Production Excellence - Covers advanced prompt engineering patterns, few-shot learning, chain-of-thought techniques, and structured output design for Claude, GPT-4, and other LLMs - Includes RAG optimization frameworks, LLM evaluation methodologies, and performance tuning strategies with reference...