Frontend Developer - SKF Analysis and Reporting - Enlight Centre

Duration: Apr. 2018 – Jan. 2020 Location: Göteborg, Sweden

Developing a web app for quickly monitoring rotating equipment and machine health to predict issues and improve reliability before operations are impacted. Allowing frictionless as a service with advanced analysis and route planning in a responsive, user-friendly enterprise tool.

Key Responsibilities:

• Built an SPA industrial analytics solution using Automated Machine Learning (AutoML) to continuously analyze Big Data from asset sensors with React.
• Rebuilt and optimized web app performance, virtualizing tables of Big Data to handle 1000+ rows, reducing a 4-second lag, and significantly enhancing user experience.
• Led 90+ IT professionals in a company event, significantly boosting employee engagement and satisfaction.
• Participated in and led scrum meetings, daily standups, retrospectives, and planning sessions.
• Evangelized a design system and component library with Material UI, deployed as an npm package used globally, reducing color and styling variations by 90%.
• Introduced and adopted company wide atomic design and Tailwind CSS to global teams for styling.
• Evangelized a design system and component library with Material UI, deployed as an npm package used globally, reducing color and styling variations by 90%. - Introduced and adopted company wide atomic design and Tailwind CSS to global teams for styling. Kompetenser: React.js · JavaScript · HTML · CSS3 · TailwindCSS · MonoRepo · Developer Experience ·

Competencies:

• React.js
• Redux
• JavaScript
• HTML
• CSS3
• MonoRepo
• TailwindCSS
• Cypress.js
• Git

Want to know more?

Extended capability of SKF Enlight ProCollect Enlight Centre - User Manual