Building deterministic AI systems, Retrieval-Augmented Generation (RAG) platforms, and operational intelligence solutions using Python, APIs, and Large Language Models.
- Design systems first, then build
- Break complex problems into pipelines, components, and workflows
- Combine deterministic engineering with AI where it adds measurable value
- Governance-Aware AI Systems
- Deterministic AI Workflows
- Operational Intelligence Platforms
- Retrieval-Augmented Generation (RAG)
- AI Evaluation & Observability
- Operational Intelligence
- Retrieval-Augmented Generation (RAG)
- AI Orchestration
- Evaluation Frameworks
- Explainable AI Systems
- Telemetry & Observability
- Grounded Generation
- Safety & Guardrails
- Data Engineering
- Python
- Streamlit
- FastAPI
- OpenAI API
- LangChain
- ChromaDB
- Pandas
- Pydantic
- PyTest
- Git & GitHub
- Docker
https://journey.chaseriskandcompliance.com.au
An interactive portfolio documenting the engineering decisions, architecture, and evolution of my AI projects.
- Operational Intelligence Copilot (MVP)
- Governance-Aware Document Intelligence RAG Platform
- Payroll Diagnostics Engine
- Public Holiday Entitlements Calculator
Always interested in building practical AI systems that solve real business problems through reliable engineering rather than AI for AI's sake.