Darciea Arulnesan
Agentic AI | RAG Systems | Human-AI Interaction
AI Engineer with a First-Class MEng from Imperial College London, building agentic LLM systems end-to-end, from stakeholder scoping to production deployment on cloud infrastructure. My work sits at the intersection of large language models and human-computer interaction, driven by a belief that the best AI is built around the people who use it.
At Dojo, I architected agentic workflows for merchant risk assessment, built RAG-powered knowledge assistants on GCP, and shipped production services using LangChain, Terraform, and CI/CD pipelines. My background in robotics and human-factors research gives me a sharp eye for how people interact with intelligent systems — and a deep conviction that the most important AI work makes complex capabilities accessible to those who need them most.
I’m particularly drawn to AI applications in healthcare, education, and assistive technology — spaces where thoughtful engineering can genuinely improve lives. Whether it’s helping clinicians surface the right information or making learning more adaptive and inclusive, I want to build intelligent systems that serve people, not just processes.