AI / ML Engineer — Generative AI · Machine Learning · Computer Vision 🎓 Master of Applied AI (Deakin University) · 📍 Geelong, Australia
I build and ship ML systems end-to-end — from real-time computer vision on edge GPUs to agentic, RAG-based LLM applications with LLMOps tooling. Currently focused on production GenAI.
- 🔭 Building a public GenAI portfolio — RAG, agentic AI, and LLMOps
- 🌱 Going deeper on LangGraph agents, RAG evaluation, and MLOps
- 💬 Ask me about computer vision on NVIDIA Jetson, RAG pipelines, or LLM apps
- 🚀 Open to mid-level GenAI / ML / MLOps roles in Australia (full working rights)
| Project | What it is | Stack |
|---|---|---|
| ai-job-assistant-v2 🚧 | End-to-end agentic job-search assistant — resume parsing with HITL review, job search & LLM reranking, gap analysis, grounded resume/cover-letter tailoring, agent+tools orchestration, and an MCP server, fully traced | FastAPI · LangGraph · OpenAI · Langfuse · MCP · PostgreSQL · Docker · Azure |
| pdf-rag | Grounded PDF RAG chatbot with anti-hallucination retrieval & multi-turn chat | LangChain · Chroma · sentence-transformers · gpt-4o-mini · Streamlit · Docker |
| pytorch-transformer | A Transformer built from scratch ("Attention Is All You Need") | PyTorch · Docker |
🚧 = in active development
GenAI / LLM
Also: LangGraph (agentic) · RAG (hybrid retrieval) · Chroma (vector DB) · Langfuse (tracing) · MCP · prompt engineering
Machine Learning / Deep Learning
Computer Vision / Edge
Also: TensorRT · TFLite · YOLOv5 · MobileNet · MIDAS
Cloud & Tools
- 🥇 Winner — Intel Ultimate Coder Challenge ($22,400)
- 🥇 Winner — Eclipse Open IoT Challenge ($5,000 USD)
- 🤖 Shipped real-time perception (depth, VIO, pose) on NVIDIA Jetson — demoed at Avalon Airshow 2023