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About me · Hamburg

Hi, I’m Uli.

I have worked professionally in software since my computer science studies — at IBM and PwC, on client projects and on products of my own.

I care about turning ideas into solutions that people can actually use. I combine product thinking and technical experience with hands-on work and the possibilities of AI.

Discuss your project
Ulrich Diedrichsen

International project experience

Architecture for complex projects.

Before that: international IBM projects and IT strategy consulting at PwC, with a focus on financial services.

While studying computer science, I was already working on software projects. From 1993 to 1996, I was a project lead at Management Systems, working on billing systems for associations of statutory health insurance physicians.

Zurich · IBM · 2009–2014

Five years on a large banking project

As a system software architect at IBM, I worked on the Vista project in Zurich. Architecture and specifications were developed in collaboration with the teams involved.

What I bring forward

On complex projects, technical decisions, requirements and responsibilities need to be clear to everyone involved. Today I combine that experience with hands-on work on software and products.

More client project experience

Examples from my CV; the clients are deliberately left unnamed here.

Modernisation · 2022

Developing an older app further

For a German furniture comparison portal, I worked on migrating a Flutter app from version 1 to 3. The work included substantial refactoring, extended analytics and coaching for the internal team.

Frontend development · 2017–2019

Modernising an insurance portal

As lead developer for the frontend of a German insurance company, I worked on moving existing web interfaces to React.

My approach

Understand first. Then move forward.

Every collaboration starts with your situation: what are you trying to achieve, where are you stuck and which decision lies ahead? Together we make the problem and the next steps tangible.

I work personally, challenge assumptions and explain technical issues clearly. AI can help us learn and experiment faster. People remain responsible for judgement and decisions.

How I can help