The University of Manchester
MSc, Engineering Project Management
Systems thinking across technology, people, risk and strategic delivery.
Technical Programme Leadership · Complex Systems · Applied AI Thinking
Senior Technical Programme Manager · UK

VR & XRHealth TechAutonomous RoboticsMedical DiagnosticsEnterprise Software
I build products where technical complexity meets real-world impact in industries where reliability, safety and good decisions matter.

01 — Experience
My career didn't move across industries by chance. Each role exposed me to more complex products, greater technical ambiguity and higher-stakes decisions. From enterprise software to biotechnology, autonomous robotics and immersive healthcare, every step expanded how I think about building products, aligning teams and delivering outcomes.
02 — Capabilities
The operating range behind nine years of complex product and programme delivery.
Workbench
Tools I use to execute.Jira · Confluence · MS Project · ProofHub
Figma · GitHub
AWS · SQL · Power BI · Tableau
ChatGPT · Claude · Codex
03 — How I Work
Five principles that guide how I turn ambiguity into decisions, products and measurable outcomes.
Before building anything, I define the decision that needs to be made, who owns it, and the constraints that shape it. Clear decisions produce better products than premature solutions.
Before building anything, I define the decision that needs to be made, who owns it, and the constraints that shape it. Clear decisions produce better products than premature solutions.
Technology never exists in isolation. Regulation, user behaviour, commercial reality and organisational incentives shape every successful product as much as engineering does.
I work across customer needs, commercial priorities, technical teams and operations—turning different perspectives into clear decisions and coordinated delivery.
Execution is a system that can be designed, measured and continuously improved. Better planning, feedback loops and visibility reduce friction long before deadlines become problems.
Frameworks are useful only when they improve outcomes. I keep the practices that create measurable value and discard those that exist for process alone.
04 — Applied AI Thinking
Four self-directed studies in how AI should behave when real organisations depend on it.
Each works a problem end to end: where the system earns trust, where a person stays in the loop, and what it must refuse to do. Studies rather than shipped products — the reasoning is the artefact.
05 — Education & Credentials
Formal education built the systems thinking. Professional credentials added structure. Nine years of complex product delivery turned both into operating judgement.
MSc, Engineering Project Management
Systems thinking across technology, people, risk and strategic delivery.
BTech, Mechanical Engineering
Ideal Student of Talent and Excellence.
06 — Contact
I'm interested in senior technical programme and delivery leadership roles, particularly where complex, cross-functional engineering meets regulated or safety-critical outcomes. Email is the fastest route to me.
VR & XR / Health Tech / Autonomous Robotics / Medical Diagnostics / Enterprise Software