Pixels

Code

Purpose

&

MISSION

As a specialist in digital product design, development, and management, my mission is to create meaningful and intuitive digital experiences that truly serve users. I bridge the gap between design and development to craft interfaces that are not only visually engaging but also technically robust and user-centered. My background in design management enables me to align creative vision with business goals, ensuring that every product is both beautiful and strategic. I believe that great digital solutions come from thoughtful collaboration, attention to detail, and a deep understanding of user needs.

I’m passionate about building interfaces that don’t just look good but solve real problems with clarity and impact. Whether I’m leading a design process or building front-end components, I focus on creating cohesive, scalable, and accessible experiences. My work lives at the intersection of creativity, logic, and purpose.

EXPERTISE

  • Using Figma | Sketch | Adobe Creative Cloud for

    UI/UX Design
    Visual Design
    Prototyping & Wireframing
    Design Systems
    Design Specification
    Testing

  • Using Jira | Figma | Google Workspace for

    Design Processes
    Agile & Scrum Collaboration
    Cross-Functional Teamwork
    Design Language Development
    Tool Management
    Resource Planning

  • Using SAPUI5 | Kotlin | Jetpack Compose | HTML | CSS | JavaScript for

    Custom UI Libraries
    Responsive Web Design
    Mobile Development
    Component-Based Architecture
    Version Control

  • Using R | Python | CANape for

    Data Preprocessing
    Computer Vision
    Statistics
    Machine Learning

  • Using DLab | Eye Tracking | Motion Capturing | Google Forms for

    Behavior analysis
    Real driving study
    Experimental Design
    Multivariant analysis methods
    User Testing

PUBLICATIONS

The publication presents Slicer-DeepSeg, an open-source toolkit developed to support automatic brain tumor segmentation using deep learning, integrated into the 3D Slicer platform.

Published in Current Directions in Biomedical Engineering (August 2021)

The study explores how different communication cues from automated vehicles affect pedestrian crossing behavior and perceived safety in a realistic setup. The research tested external HMI, acoustic signals and pitch motion.

Published in Transportation Research Part F: Traffic Psychology and Behaviour (August 2021)

CONTACT

weimannpauline@outlook.com
+49 162 9738824
LinkedIn