Naga Kiran is an AI/ML engineer and founder with 8 years of experience building production-grade, scalable AI systems across enterprise and gaming domains. He specializes in deploying low-latency LLMs, optimizing RAG pipelines for cost and performance, and designing multi-agent architectures that enable real-time vision and behavioral-cloning-driven game agents. As founder of CASP AI and consultant at firms like iAgent Protocol, Johnson & Johnson and ADSS, he has delivered measurable impact—cutting RAG latency by ~60% and reducing token costs by up to 90% while operationalizing document digitization and intelligent search at scale. Comfortable across the stack, he combines MLOps, Triton/AKS deployments, and model fine-tuning with stakeholder-facing analytics and CI/CD automation. Based in Hyderabad, he brings a pragmatic focus on making research-quality ML reliably deployable in production, and often optimizes for inference cost and system-level efficiency rather than just model accuracy.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Jawaharlal Nehru Technological University, Kakinada
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