Melbourne, Victoria, Australia
Engineered and productised enterprise AI solutions, acting as the primary technical bridge between business strategy and advanced machine learning. Specialised in designing autonomous, agentic AI systems that move beyond static chat into complex, multi-step reasoning and workflow automation. Core Engineering & Agentic Al: • Agentic Workflows: Architected multi-agent systems (e.g., LangGraph, CrewAl) enabling LLMs to autonomously plan, route tasks, and execute complex business logic. • Advanced RAG: Built scalable Retrieval-Augmented Generation pipelines, integrating autonomous agents with vector databases (Pinecone, Milvus) for highly accurate, context-aware synthesis. • Tool Calling: Customised function-calling capabilities, securely integrating Al agents with enterprise APls and internal databases to execute real-world actions. • Secure Deployment: Optimised and deployed GenAl models within secure cloud environments (Azure/AWS), ensuring strict adherence to enterprise data governance and privacy standards. Consulting Impact: • Led technical discovery workshops for executive stakeholders, translating ambiguous client challenges into high-ROI Al architectures and actionable engineering roadmaps. Tech Stack: Python, LangGraph, LangChain, LlamaIndex, OpenAI/Anthropic APIs, Vector Databases, Cloud AI Platforms, Docker