Raja CSP Raman is a senior Generative AI engineer, architect, and startup advisor focused on building production-grade LLM applications. His work centers on treating large language models as stateless components within well-designed systems, emphasizing retrieval quality, system architecture, evaluation, and failure modes over model hype.

He has designed and reviewed real-world GenAI systems spanning RAG architectures, vector search optimization, agent workflows, and multi-modal reasoning, with a strong bias toward practical constraints such as latency, cost, observability, and reliability. Raja CSP actively mentors founders and engineering teams on how to move from proof-of-concept demos to deployable, maintainable AI products.