Building this SaaS platform was a deep dive into how AI products actually work, not just how they look.

From brand to design system to UI, the focus was on creating a structured product experience that supports real workflows, not just features.

Working on this helped me understand how clarity in product structure directly impacts usability and adoption.

If you're building or refining a SaaS product and need structure, clarity, and scalable design, I’m open to collaborating.

Senior Software Engineer & AI Automation

I developed medalsnbongs.com as a full-stack web application using Next.js, integrating web scraping and OpenAI-powered content generation to automate product data processing and content creation. The platform collects product information from multiple sources through custom scraping scripts, allowing the system to automatically gather relevant product details, images, and descriptions. This significantly reduces manual data entry and helps maintain a constantly updated product catalog.

To enhance the platform further, I integrated OpenAI to generate optimized product descriptions and structured content based on the scraped data. The application uses Next.js for both frontend and backend API routes, providing a fast and scalable architecture with efficient server-side rendering and data handling. This project demonstrates my ability to build advanced data-driven full-stack applications that combine modern web frameworks, automated data collection, and AI-assisted content generation to streamline e-commerce workflows.