Full-lifecycle, hands-on mastery across both specialist domains: (a) training and fine-tuning traditional AI/ML models and LLMs - including parameter-efficient methods (QLoRA/LoRA/PEFT), quantization, distributed training, and rigorous evaluation; and (b) LLM orchestration, agentic systems, tool/MCP design, and retrieval/RAG in production. Operate as a full-spectrum AI engineer fluent across the entire lifecycle - data, model training and fine-tuning, retrieval, orchestration, evaluation, and production operations - able to go as deep as any specialist and to compose the pieces into coherent, production-grade systems.