Developer trained through the Apple Developer Academy @ UC Indonesia, focused on building polished, production-ready apps with Swift & SwiftUI.
I shipped 5+ apps across iOS, iPadOS, and macOS during the Academy, averaging a 4.8/5 pilot satisfaction score. My favorite build is Menata, which uses RoomPlan, Object Capture, and RealityKit to let interior designers scan and arrange rooms in 3D.
Beyond mobile, I bring full-stack range — AWS serverless architecture and time-series forecasting — so I can work closely with backend and data teams while owning the iOS experience end to end.
I'm also deliberately growing alongside AI tooling — using models like Claude, Gemini, and Copilot inside AI-native editors (Antigravity, Cursor) to move faster, and shipping to Vercel to close the loop from prototype to production.
📦 5+ shipped projects · 🛠️ 3 years building · 🎓 GPA 3.71 / 4.0
| Project | Stack | Description |
|---|---|---|
| 🧾 CatatIn |    |
MacOS app ull-stack application designed to streamline transaction recording, project budgeting, receipt/PDF parsing, and financial management using automated AI microservices and a native mobile interface. |
| 🏠 Menata |   |
iOS app for interior designers to scan rooms and arrange 3D furniture models using Object Capture and RealityKit. |
| 🤖 JATA |      |
AI-powered CV parser and application assistant that extracts structured experience banks and synthesizes tailored job summaries and cover emails. |
I treat AI tools as a skill to develop deliberately, not just a shortcut — using them to work faster and to understand the systems well enough to build with them.
- Workflow speed — pairing with Claude, Gemini, and Copilot inside Cursor and Antigravity to move from idea to working code faster
- Building AI-native features — integrating AI directly into my own apps (not just using AI to write code, but shipping AI-powered functionality to users)
- Systems literacy — going deep enough on how these tools work to talk about them from either the engineering or the product/BA side
