Senior UX/UI Designer & AI Experience Lead at NTT Data DACH

Led UX and AI experience across BMW, Mercedes-Benz, Munich Re, and CARIAD/VW Group. Delivered end-to-end UX for AI-integrated product workflows, including user flows, wireframing, usability testing, and Figma design system adoption across 5+ agile squads. Redesigned insurance policy workflows at Munich Re by restructuring form layouts and improving field prioritisation based on user needs through new design components within the existing product system. At BMW shopfloor, owned end-to-end UX and improved order processing efficiency. Coached designers at Mercedes-Benz on user research, usability testing, and agile UX; reduced design-to-dev handoff time. Facilitated discovery workshops and sprints, and enforced WCAG 2.1 AA accessibility across deliverables.

Senior Consultant - UX/UI & Requirements Engineering at NTT Data DACH Munich

Led UX/UI design for BMW and Munich Re AG, using design thinking, Figma, prototyping, and WCAG accessibility; conducted user research, persona development, and usability testing for measurable product improvements; facilitated UX training, design sprints, and cross-functional collaboration to drive user-centric, scalable solutions.

UX/UI Designer at Digital Product School Munich

Designed and prototyped digital products focusing on user journey mapping and iterative usability testing. Conducted user research and created interactive prototypes in Figma. Developed frontend solutions using React JS, Swift, and Angular for responsive, accessible interfaces.

UX/UI Designer & Agile Coach at Digital Product School

Designed and delivered an AI-assisted mobility product from 0 to 1 in 12 weeks. Owned the full UX lifecycle: user research, user flows, wireframing, prototyping, and four rounds of usability testing. Built interactive interfaces using React and Angular, aligned with an agile delivery approach, and iterated based on usability findings.

Research Assistant, Machine Learning at Technical University of Munich

Applied Gaussian Process Regression to model Tesla battery degradation. Built a Python data-generation library and supported research efforts that later informed AI product and agentic workflow design.

Research Assistant - Machine Learning at Technical University of Munich

Developed a robust Python library for data generation. Modeled Tesla battery behavior using advanced Gaussian Process Regression (GPR).

Software Developer (Work Student) at Loyalty Partner Solutions GmbH

Built Java-based automated regression test frameworks using Selenium and SOAP UI for an enterprise Loyalty Management Suite. Bridged design and engineering fluency through structured testing and automation practices.