Piotr B.

Worked on the frontend redesign of a complex AI-powered platform built around LLM workflows. Focused on improving usability in a feature-rich environment handling projects, documents and chat-based interactions. Led the redesign of the navigation system by introducing a multi-panel layout to better manage nested data structures and large volumes of content. Rebuilt the PDF viewer to support advanced functionality such as search, download and print, while solving performance challenges by implementing lazy loading and virtualised rendering for large documents (1000+ pages). Handled complex UI challenges related to dynamic resizing and rendering consistency, requiring custom solutions to work with virtualisation libraries. Worked in an AI-augmented development environment using tools like Cursor, Copilot and CodeRabbit to accelerate delivery.

Developed a React Native-based health assessment module as part of the Actify platform, implementing a multi-step questionnaire consisting of 40+ dynamic questions. Handled state management to persist user progress, enabling users to resume the questionnaire seamlessly after interruption. Identified and resolved performance issues caused by rendering multiple components simultaneously, improving responsiveness by restructuring the logic to display only the active question. Worked within an existing system and reused components to ensure consistency with the broader platform.

Delivered a React Native mobile application as the sole frontend developer, taking full ownership of the mobile layer in a fast-paced MVP environment. Set up and built the application using Expo, quickly adapting to a new framework to enable rapid development and meet tight delivery timelines. Collaborated closely with design to iterate on UI direction following client feedback, contributing to shaping a more usable and coherent product experience. Implemented authentication flows, including SSO, and ensured reliable integration with backend APIs. Worked under significant time pressure, requiring fast decision-making, efficient execution and continuous learning.