Robert Tabor

Spearheading development for a full-stack iOS application for virtual closet management, integrating Swift, MongoDB, and MVVM pattern, guiding the entire development lifecycle. Incorporated ChatGPT API to provide intelligent outfit suggestions, leveraging natural language processing to offer personalized style recommendations based on user preferences. Implemented PhotoRoom API to isolate clothes from backdrop in images, delivering a user experience that streamlines wardrobe management and outfit visualization.

Successfully launched and scaled a Depop vintage and used clothing store, achieving a milestone of over 100 sales and generating $3,000 in revenue in its inaugural month, overseeing all aspects independently. Automated several aspects of the business using software, including generating clothing listings and shipping labels. Amplified revenue streams and reach by participating in 10+ in-person markets, contributing to an additional 250 sales.

Engineered a responsive, full-stack web application utilizing React for the frontend and Node.js for the backend, ensuring a seamless user experience across devices for displaying a clothing collection and personal projects. Constructed a masonry grid for vintage apparel using React and lazy loading, enhancing UI speed and responsiveness. Launched “r-tabor.com” on GitHub Pages with CI/CD automation, significantly reducing deployment time by 25% and ensuring zero downtime during updates for the site.