Collaborated on AI Chat Navigator implementation at BusinessWith Software, focusing on visual UI development. Migrated chat to React Context architecture with Viewport component, developed responsive visual components with CSS reactivity, and integrated Storybook for visual testing. This project demonstrates expertise in component-driven development and modern React patterns.

Proposal and ideation project applying UX Design Thinking to improve SystemGuide for non-technical users. User research, personas and journey maps, a simplified question flow with optimized microcopy, high-fidelity Figma prototypes, and usability testing to validate the concept.

Professional corporate website for Linero Tech AB, developed as part of my current role as Frontend Developer. Focused on responsive and mobile-first design, achieving improved visual consistency, accessibility, and performance across all devices. Built using modern web technologies including HTML, CSS, JavaScript, and Figma for design.

Full-stack social network web application for dog lovers to create pet profiles, share images, and connect with others. Developed to gain experience in modern React development with React Router for navigation, Styled-Components for styling, and full-stack architecture using Firebase, Node.js, Express.js, and MongoDB Atlas.

Innovative mobile app integrating AI image recognition using Google Vision API. Allows users to upload images and receive AI-generated explanations, exploring cutting-edge technologies including React Native, Firebase authentication with Google Sign-In, and a custom Node.js/Express backend. Demonstrates expertise in AI/ML integration and cross-platform mobile development.

Cross-platform event management application built with Kotlin Multiplatform (KMM) for both Android and iOS. Features include event creation, ticket sales with Swish payment integration for the Swedish market, and Google Maps SDK for location services. Demonstrates advanced multiplatform development skills and third-party payment integration.

Professional Android application developed during an internship to support field inventory registration. Enables users to create posts with text, photos, and GPS location, syncing data to an Omeka database. Successfully implemented MVVM architecture, CameraX for photo capture, and Google Maps SDK for location tracking.

Android application displaying real-time police incidents and station locations on an interactive map. Developed to practice map-based UI, live data handling, and MVVM architecture. Features Mapbox and Google Maps SDK integration, Retrofit for API calls, and Material Design 3 components with UI refactoring for optimal user experience.