Omron

Overview

Led the UI/UX design of a machine learning-powered web app that automated defect inspections in manufacturing, reducing inspection time to 3 seconds per part and improving accuracy.

Team

1 PM
4 Developers
1 Designer

Timeline

4 months

Tools

Figma
HTML, CSS, JS
Flask

Skills

UI/UX Design, Machine Learning Integration, Rapid Prototyping, Design Systems, User Research, Cross-functional Collaboration, Responsive Design

Designed intuitive interfaces in Figma to visualize real-time inspection results and streamline workflows for factory operators.
Built responsive front-end components with HTML, CSS, and JavaScript, ensuring seamless user experience across devices.
Created a Webflow prototype to quickly communicate design intent and gather stakeholder feedback.
Collaborated with backend teams using YOLO, PyTorch, and Flask; managed tasks in Jira, Confluence, and GitHub.
Resulted in reducing inspection time to 3 seconds per part, cutting 30 minutes of manual work and improving defect detection accuracy.

Designed intuitive interfaces in Figma to visualize real-time inspection results and streamline workflows for factory operators.
Built responsive front-end components with HTML, CSS, and JavaScript, ensuring seamless user experience across devices.
Created a Webflow prototype to quickly communicate design intent and gather stakeholder feedback.
Collaborated with backend teams using YOLO, PyTorch, and Flask; managed tasks in Jira, Confluence, and GitHub.
Resulted in reducing inspection time to 3 seconds per part, cutting 30 minutes of manual work and improving defect detection accuracy.

Works

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