Built an automation system using Python and Selenium to auto-fill and submit timesheets across web portals. Integrated REST APIs with JSON processing for data sync and validation, and developed supporting services in Node.js for workflow orchestration. Containerized with Docker and implemented CI/CD via GitHub Actions for reliable, repeatable deployments.
After weeks of 14–16 hour workdays, late nights and countless iterations, our new website is finally live! 🚀🌙
Built using Claude Code, Codex, Claude Design, Higgsfield and Figma.
AI is incredibly powerful when used correctly. With the right expertise, creativity and attention to detail, you can create something truly unique that doesn’t look or feel AI-generated.
Building a Modern Restaurant Management Dashboard with Lovable (Light ☀️ vs. Dark 🌙)
I’ve been working on the dashboard interface for ReserveTable (Eat Pro Japan), focusing on giving restaurant managers and users a clean, modern, and intuitive interface to manage bookings, tables, and analytics.
Using Lovable, I was able to rapidly prototype and construct a modern UI system complete with smooth component transitions and native theme switching.
✨ Key Design & Tech Highlights:
⚡ Built with Lovable: Leveraged AI-powered design-to-code workflows to assemble clean component hierarchies, responsive search/filter bars, and sleek cards rapidly.
🌗 Seamless Light & Dark Mode: Designed a flexible color system using modern CSS variables / Tailwind tokens so the entire interface gracefully shifts between an elegant light aesthetic and a moody, dark dining ambience.
🎯 Contextual UI Elements: Styled input controls, select menus, and primary CTA buttons to maintain legibility and contrast across both light and dark themes.
For reservation and table states, the same semantic color tokens need to stay clear in light and dark mode. Did you define status tokens once and map both themes to them, or tune those colors per component?