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🏛️ EMMA Event Management Platform — Built and maintained since 2020 for the Inter-American Development Bank. Full-stack React + .NET solution handling events, registrations, and document workflows for thousands of IDB users. Major updates shipped in 2025–2026.
The network for creativity
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Live Events Mobile App Discovery, Booking & Split Bill Flow
This is the discovery and booking flow for a live events mobile app built around one feature that separates it from every other event app out there.
The split bill.
Not a separate screen. Not an afterthought. Built directly into the booking flow so anyone in the group can pay their share instantly no awkward follow-ups, no separate payment apps, no "I'll send you later" moments.
The UI was structured entirely in Figma from component architecture to the full prototype while Jitter handled the micro-interactions and transitions that make the flow feel connected rather than just functional.
The rest of the flow matches that same clarity. Location-aware event discovery. Popular and ongoing event sections. A detail screen with host contact, ticket tier selection, and total amount visible before the final tap.
Every screen answers the next question before the user asks it. Every transition earns its place.
That's what makes a booking flow feel finished not just designed.
See the full case study 👉 https://www.behance.net/gallery/247306827/Instant-Event-APP-UI-UX-Mobile-App-Orbix-Studio
Built with Paper for the #PaperChallenge.
I designed a series of immersive shader effects in Paper, then used Cursor to implement them as a React site. The concept: vertically stacked chips as site navigation, each one revealing a different animated shader as a full background on hover.
Paper lets designers create WebGL shader effects visually, then exports them directly as React components. Cursor handled the implementation. The whole thing came together on a rainy Sunday afternoon.
This unlocks something real for designers. Complex, performant visual effects that used to require a specialist are now part of the design workflow.
Bravo, Paper.
Loving the outcome of this !! Feels so satisfying
I developed a fully automated Customer Support Chatbot using n8n and Google Gemini. This AI agent is designed to handle user inquiries by retrieving data directly from Google Sheets and logging new information in real-time.
Key features include conversation memory for context-aware responses and seamless integration with spreadsheets for data management. This project demonstrates my ability to build functional AI workflows that reduce manual support tasks and improve operational efficiency.
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