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PRODUCT DESIGN • STRATEGY • SYSTEMS THINKING

Designing & developing solutions for complex ecosystems with proved business impact

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Trusted by:

About

Transforming the experience delivered
to users, by positioning
UX/UI design as an integral aspect of strategic product planning

I work on design problems that don't have simple answers. Dense operational data, specialized workflows, and users who are domain experts themselves — that's the kind of work I get brought in for.

I spend time understanding how people actually work before I design anything — including traveling to be close to the people using the product, not just designing from a brief. The interfaces I build have to hold up to that complexity, not simplify it away.

What I bring is a combination of solid design craft and a practical understanding of what actually matters to the business. I've seen design decisions translate directly into operational and financial outcomes, and that's the standard I hold my own work to.

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Portfolio

Below is a chosen selection of projects — an overview, not the full story. Each one involved more depth, more people, and more cross-disciplinary collaboration with users and colleagues than a single page can show. To explore the complete case studies, deep dives, and metrics, please contact me to request password access. If something here raises a question, let’s talk!

01

A Unified Planning Experience for Oil & Gas

Unified activity planning and P&ID visualization for oil & gas turnaround teams — designed the feature set, cross-tool UX flow, and success metrics connecting Maintain with Industrial Canvas.

02

Refinery Command Center for CDF-Powered Decision Making

What started as a hackathon rescue mission: stepping in after a project team's vibe-coded prototype failed to meet client expectations, evolved into a full-scale visualization platform for a chemical refinery. At its core sat a single, map-first experience, with a 1:1 digital representation of the real refinery that let any user, regardless of role, understand criticality and live data across the entire site at a glance. The same map and design system powered six distinct dashboards: Executive, Operations, Reliability, and others — each surfacing different metrics for different audiences, without breaking a shared, consistent experience.

03

Simplifying Authorization & Onboarding

Onboarding industrial users to a complex data platform like CDF requires more than a simple login screen — it involves aligning authorization models, user roles, and access paths with how customers actually work. This project tackled the technical and UX challenges of advanced onboarding, partnering closely with engineering teams to redesign how users are authorized and guided into the product, with a strong focus on eliminating fragmented, multi-login experiences in favor of a single, unified entry point.

04

Rearchitecting Navigation Across One Platform

As Cognite Fusion grew from few flagship apps into a platform where customers and partners can build their own apps through Custom Apps, fragmented per-app navigation stopped being a minor inconsistency and became a platform-level risk. This project defined a unified, customizable navigation architecture to replace disconnected navigation patterns — reclaiming usable space in existing apps, restoring user confidence across workflows, finally delivering the navigation customization users had been requesting for a long time, and giving every future app a scalable foundation instead of reinventing navigation from scratch.

05

Inveox: Digitizing the Pathology Workflow

Inveox GmbH (Munich, founded 2017) built Pathology 4.0® — a system digitalizing and automating sample intake in histopathology, combining an intelligent sample container, an automated intake machine, and an online platform connecting treating physicians with labs. The company’s mission was direct: manual, inconsistent lab processes were the most common cause of misdiagnosis in pathology, and digitalizing the workflow meant safer, faster cancer diagnoses. Inveox was recognized with multiple awards (EIT Health Award, German Innovation Prize, World Health Summit Award), named to Forbes’ “Most Promising Startups,” and joined the World Economic Forum before COVID ultimately closed the business. I worked there over 5 years ago as part of the core team shaping this product, and I’m including it here because the problem still matters to me — I recently revisited the original Figma package from that time and rebuilt parts of the experience with current tools and a vibe-coded approach, simply to keep exploring the problem with the skills I have today.

06

Driving Cognite’s AI Design Shift and New Strategy

Following a leadership change, Cognite’s new design leadership issued a challenge to the entire design team: in just 2 weeks, build a vibe-coded solution that demonstrated what AI-driven design could unlock for the product. Out of the whole team, 3 solutions were selected as winners and presented directly to the CPO, CTO, and other senior stakeholders — mine was one of them. What started as a design skills showcase ended up driving real strategic change: it directly contributed to Cognite’s decision to invest in a new AI-driven design system and AI-powered, custom product experiences — work that later shaped the Aura design system and opened a new, monetizable market for custom solutions.

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How I work?

Discovery, grounded in the real environment

I start by understanding the actual problem, not the brief as written. That means talking to and observing the people who'll use the product — operators, engineers, technicians — and understanding the constraints they work under before I design anything.

Stakeholders involved throughout, not just at the start and end

I bring stakeholders into the process continuously, not just for a kickoff and a final review. Their input shapes decisions as the work progresses, not after it's already been made. I've found this is where a lot of the real problem-solving actually happens — not in a single discovery phase, but in an ongoing conversation as the design takes shape.

Using AI to move from idea to interactive concept fast

I'm fluent with AI tools as part of my day-to-day workflow, not as an experiment on the side. I use them to turn ideas into interactive, testable concepts quickly — so stakeholders and users are reacting to something real early on, and validation and iteration can start sooner. This isn't just about producing design artifacts faster; it shortens the actual path from concept to a working part of the product.

Involved through implementation, not handing off and waiting

I work closely with engineers at every stage of implementation, not just at handoff. That means staying involved as the product gets built, catching problems early, and adjusting design decisions based on real technical constraints as they come up — rather than reviewing a finished result after the fact.