Professional Overview
I build AI automation systems and agentic workflows that actually ship to production. My background is cloud infrastructure and server administration — which means when I build an AI system, I don't just make it work on my laptop. I make it observable, deployable, and production-ready from day one. Right now I'm focused on: → Multi-agent systems
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
