Goodfolks

Frontend Developer – React & TypeScript

Developed and maintained a mobile-responsive web application for Goodfolks, a logistics automation platform that uses machine learning to detect and classify logistics items such as pallets, collars, drums, and disposable wooden units.
Built robust and scalable UI components using React.js and TypeScript, ensuring consistent design and functionality across multiple devices and screen sizes.
Integrated the frontend with a FastAPI backend that served ML model predictions for real-time classification of item type and quantity using uploaded images.
Created dynamic interfaces for image upload, model response rendering, and item visualization, enabling warehouse staff to streamline inventory and sorting operations.
Optimized application performance and accessibility, including lazy-loading images and reducing bundle size to improve UX on mobile networks and devices.
Collaborated with backend engineers, ML specialists, and product designers to fine-tune API integrations and model outputs for enhanced user feedback.
Participated in Agile workflows, version-controlled code using Git, and contributed to regular code reviews and feature testing.