I’m excited to apply for this role as my work focuses on building and deploying production-ready multi-agent and RAG-based AI systems for real-world decision workflows. I am currently pursuing a Master of Artificial Intelligence at RMIT University and work as a Software Developer developing AI-enabled applications.
I have hands-on experience designing multi-agent orchestration pipelines, implementing retrieval-augmented generation systems, improving retrieval relevance, and applying guardrails to ensure reliable, citation-grounded outputs. I also optimise LLM performance through token reduction, caching, and latency improvements, while building scalable Python-based microservices and cloud deployments.
I am eager to contribute my experience in agentic AI, RAG architectures, and production optimisation to teams building reliable, high-impact AI systems.
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