I help teams move from AI experimentation to production by designing scalable architectures, evaluating technology choices, and solving real-world implementation challenges. Areas I can help with: • Generative AI & Agentic AI architecture • RAG systems using AWS Bedrock, LangChain, OpenSearch, Milvus, and vector databases • Enterprise AI platform design and governance • MLOps, model deployment, and productionization • AI solution architecture reviews • Career guidance for AI Engineers, Data Scientists, and Technical Leads • AI project planning, stakeholder alignment, and execution strategy Whether you're building your first AI proof-of-concept, scaling an enterprise GenAI platform, evaluating RAG architectures, or planning your AI career growth, I can help you avoid common pitfalls and accelerate outcomes. Book a session if you want practical, implementation-focused advice rather than theoretical discussions.