Designs and builds secure, production-grade GenAI and agentic AI applications using Python, LLMs, AWS, and Databricks. Develops scalable AI pipelines, integrates data and cloud services, applies RAG, vector databases, model evaluation, and guardrails, and creates cost-effective solutions. The engineer researches emerging tools, improves application infrastructure and performance, works independently, guides team members, and delivers under tight timelines.