Professional Overview
I'm a hands-on AI engineer and technology leader who loves solving difficult problems and turning new technology into something genuinely useful. I particularly enjoy working with LLMs and agentic AI, exploring what these systems are capable of and figuring out how to make them reliable enough for real-world use. Most recently, I worked as a Senior Applied AI Engineer at Zapier, building AI infrastructure, agentic systems, evaluation frameworks and model training pipelines. Before that, I founded Execify.ai, where I designed and built an AI platform to automate everyday work for executive teams. My background is in software development, DevOps and cloud infrastructure, and I've also spent several years in customer-facing solutions architecture. I enjoy getting stuck into the technical details, working with talented people and finding practical solutions to complex problems.
Experience
Employment Type
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
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.