About
Systems-first AI engineering, grounded in delivery.
I am a Forward-Deployed AI Engineer, Applied AI Systems Architect, and Machine Learning Engineer focused on building practical enterprise AI systems. My work sits at the intersection of client discovery, solution architecture, custom ML, generative AI, RAG, agentic workflows, data engineering, and production deployment.
Before specialising in AI and data science, I spent several years in project management, where I developed strong foundations in client communication, cost estimation, planning, execution monitoring, and delivery ownership. I now apply that systems-first approach to AI and ML engineering, building solutions that are low-cost, low-latency, scalable, and commercially useful.
- How I Work
- Start with the operational bottleneck, not the model.
- Forecast cost, latency, and infrastructure before writing code.
- Prefer custom, deterministic ML where LLMs add risk without value.
- Design for observability, human-in-the-loop, and safe rollback from day one.
- Deliver production systems, not demos or slideware.