I'm a digital product designer with over 20 years of experience — working across the full spectrum, from 0-to-1 startups and founding designer roles through to scale-ups adding new product lines and large organisations navigating digital transformation.
Over that time I've worked across a wide range of industries — AI, health tech, financial services, energy, media, and more — embedding within cross-functional teams and leading design end-to-end: from facilitated workshops and user research through to high-fidelity UI, design systems, and engineer-ready delivery.
I'm most at home in complex, ambiguous environments where the problem isn't fully defined yet — working closely with founders, product managers, and engineers to bring structure and clarity before reaching for a solution. Whether that's taking a raw idea to market, helping a growing company scale its product, or untangling a legacy system that's no longer fit for purpose, the approach is always the same: understand the problem deeply first.
A significant part of that complexity, increasingly, involves AI. Before any interface decisions, that means evaluating people, workflows, and data to understand where AI could genuinely add value — and whether it should. Where it makes sense, I design the software that puts AI-generated output to work: summarising complex research for clinicians, flagging anomalies in financial transactions, generating reports from live monitoring data, or surfacing recommendations from large operational datasets. The design challenge is making that output trustworthy, actionable, and appropriately human — knowing when to surface AI confidently, and when to keep a human firmly in the loop.
Recent projects include an AI-powered public safety SaaS platform, a web-based report generator for healthcare professionals, a blockchain analytics tool for financial compliance, and a connected health app for elderly users — each a different context, each requiring a different lens.
If you're building something new, scaling an existing product, or modernising a system that's holding you back, I'd love to hear about it.
i@digf.at
+44 7979 051120
I'm a digital product designer with over 20 years of experience — working across the full spectrum, from 0-to-1 startups and founding designer roles through to scale-ups adding new product lines and large organisations navigating digital transformation.
Over that time I've worked across a wide range of industries — AI, health tech, financial services, energy, media, and more — embedding within cross-functional teams and leading design end-to-end: from facilitated workshops and user research through to high-fidelity UI, design systems, and engineer-ready delivery.
I'm most at home in complex, ambiguous environments where the problem isn't fully defined yet — working closely with founders, product managers, and engineers to bring structure and clarity before reaching for a solution. Whether that's taking a raw idea to market, helping a growing company scale its product, or untangling a legacy system that's no longer fit for purpose, the approach is always the same: understand the problem deeply first.
A significant part of that complexity, increasingly, involves AI. Before any interface decisions, that means evaluating people, workflows, and data to understand where AI could genuinely add value — and whether it should. Where it makes sense, I design the software that puts AI-generated output to work: summarising complex research for clinicians, flagging anomalies in financial transactions, generating reports from live monitoring data, or surfacing recommendations from large operational datasets. The design challenge is making that output trustworthy, actionable, and appropriately human — knowing when to surface AI confidently, and when to keep a human firmly in the loop.
Recent projects include an AI-powered public safety SaaS platform, a web-based report generator for healthcare professionals, a blockchain analytics tool for financial compliance, and a connected health app for elderly users — each a different context, each requiring a different lens.
If you're building something new, scaling an existing product, or modernising a system that's holding you back, I'd love to hear about it.
i@digf.at
+44 7979 051120
I'm a digital product designer with over 20 years of experience — working across the full spectrum, from 0-to-1 startups and founding designer roles through to scale-ups adding new product lines and large organisations navigating digital transformation.
Over that time I've worked across a wide range of industries — AI, health tech, financial services, energy, media, and more — embedding within cross-functional teams and leading design end-to-end: from facilitated workshops and user research through to high-fidelity UI, design systems, and engineer-ready delivery.
I'm most at home in complex, ambiguous environments where the problem isn't fully defined yet — working closely with founders, product managers, and engineers to bring structure and clarity before reaching for a solution. Whether that's taking a raw idea to market, helping a growing company scale its product, or untangling a legacy system that's no longer fit for purpose, the approach is always the same: understand the problem deeply first.
A significant part of that complexity, increasingly, involves AI. Before any interface decisions, that means evaluating people, workflows, and data to understand where AI could genuinely add value — and whether it should. Where it makes sense, I design the software that puts AI-generated output to work: summarising complex research for clinicians, flagging anomalies in financial transactions, generating reports from live monitoring data, or surfacing recommendations from large operational datasets. The design challenge is making that output trustworthy, actionable, and appropriately human — knowing when to surface AI confidently, and when to keep a human firmly in the loop.
Recent projects include an AI-powered public safety SaaS platform, a web-based report generator for healthcare professionals, a blockchain analytics tool for financial compliance, and a connected health app for elderly users — each a different context, each requiring a different lens.
If you're building something new, scaling an existing product, or modernising a system that's holding you back, I'd love to hear about it.
i@digf.at
+44 7979 051120
I'm a digital product designer with over 20 years of experience — working across the full spectrum, from 0-to-1 startups and founding designer roles through to scale-ups adding new product lines and large organisations navigating digital transformation.
Over that time I've worked across a wide range of industries — AI, health tech, financial services, energy, media, and more — embedding within cross-functional teams and leading design end-to-end: from facilitated workshops and user research through to high-fidelity UI, design systems, and engineer-ready delivery.
I'm most at home in complex, ambiguous environments where the problem isn't fully defined yet — working closely with founders, product managers, and engineers to bring structure and clarity before reaching for a solution. Whether that's taking a raw idea to market, helping a growing company scale its product, or untangling a legacy system that's no longer fit for purpose, the approach is always the same: understand the problem deeply first.
A significant part of that complexity, increasingly, involves AI. Before any interface decisions, that means evaluating people, workflows, and data to understand where AI could genuinely add value — and whether it should. Where it makes sense, I design the software that puts AI-generated output to work: summarising complex research for clinicians, flagging anomalies in financial transactions, generating reports from live monitoring data, or surfacing recommendations from large operational datasets. The design challenge is making that output trustworthy, actionable, and appropriately human — knowing when to surface AI confidently, and when to keep a human firmly in the loop.
Recent projects include an AI-powered public safety SaaS platform, a web-based report generator for healthcare professionals, a blockchain analytics tool for financial compliance, and a connected health app for elderly users — each a different context, each requiring a different lens.
If you're building something new, scaling an existing product, or modernising a system that's holding you back, I'd love to hear about it.
i@digf.at
+44 7979 051120
I'm a digital product designer with over 20 years of experience — working across the full spectrum, from 0-to-1 startups and founding designer roles through to scale-ups adding new product lines and large organisations navigating digital transformation.
Over that time I've worked across a wide range of industries — AI, health tech, financial services, energy, media, and more — embedding within cross-functional teams and leading design end-to-end: from facilitated workshops and user research through to high-fidelity UI, design systems, and engineer-ready delivery.
I'm most at home in complex, ambiguous environments where the problem isn't fully defined yet — working closely with founders, product managers, and engineers to bring structure and clarity before reaching for a solution. Whether that's taking a raw idea to market, helping a growing company scale its product, or untangling a legacy system that's no longer fit for purpose, the approach is always the same: understand the problem deeply first.
A significant part of that complexity, increasingly, involves AI. Before any interface decisions, that means evaluating people, workflows, and data to understand where AI could genuinely add value — and whether it should. Where it makes sense, I design the software that puts AI-generated output to work: summarising complex research for clinicians, flagging anomalies in financial transactions, generating reports from live monitoring data, or surfacing recommendations from large operational datasets. The design challenge is making that output trustworthy, actionable, and appropriately human — knowing when to surface AI confidently, and when to keep a human firmly in the loop.
Recent projects include an AI-powered public safety SaaS platform, a web-based report generator for healthcare professionals, a blockchain analytics tool for financial compliance, and a connected health app for elderly users — each a different context, each requiring a different lens.
If you're building something new, scaling an existing product, or modernising a system that's holding you back, I'd love to hear about it.
i@digf.at
+44 7979 051120