Performance Engineer specialising in non-functional testing, automation and observability for large scale distributed platforms. Skilled in Python scripting, CI/CD integration and performance testing at scale, with a strong focus on resilience and data driven insights. I began my career in civil engineering, working on infrastructure projects with significant stakeholder and community impact, before moving into digital performance engineering. This background gives me a unique mix of structured problem solving, stakeholder collaboration and hands on technical skills.

Please do not hesitate to contact me for an informal chat!

About me

Career Journey

I began my career in civil engineering, spending more than a decade delivering water, wastewater, and environmental projects across the UK and internationally. From designing major sewage treatment works and pumping stations on the Island of Jersey, to carrying out complex hydraulic modelling for large catchments, my early career gave me a strong grounding in infrastructure, problem-solving, and multidisciplinary collaboration.

Alongside this, I developed an interest in digital solutions and automation. While working at Arcadis, I started creating Python tools, ArcGIS scripts, and data-driven workflows to improve efficiency and modernise traditional engineering practices. This experience sparked a transition into technology-focused roles, where I could combine engineering expertise with a passion for coding and automation.

That journey led me into performance engineering, first as an Associate and now as a Performance Engineer. I’ve since worked on global-scale streaming platforms, designing and executing performance testing with Mite, building observability dashboards in Grafana, Prometheus, and Splunk, and testing distributed Spring Boot microservices in cloud-native environments. I’ve supported multi-million concurrency live streaming events, including NFL games, where system stability under extreme load was critical.

Today, I focus on ensuring complex distributed systems are scalable, resilient, and production-ready. I enjoy working with data, metrics, and observability dashboards, turning raw information into clear insights that help teams build more reliable systems. Beyond my own domain, I also contribute to production support, learning about wider platform impacts and helping to resolve critical issues.

My career so far reflects a journey from traditional engineering into cutting-edge digital systems — with a common thread of problem-solving, collaboration, and delivering reliable performance at scale. For a detailed employment history please visit my  LinkedIn page.

If you would like to know more about me or have some feedback, please do not hesitate to get in touch.

My recent work and courses

Skills and Tools

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