Monetization & AI✦ Flutter Developer

ChaïZen

Anonymous Social Expression & Mindful Monetization Platform

Mindful social application featuring RevenueCat in-app purchase monetization, on-device AI translation with Google ML Kit, and secure anonymous community spaces.

Live on StoresPlatform Availability
★ 4.8/5User Experience Rating
99.7%Production Crash-Free Rate

Executive Product Overview & Scope

ChaïZen is a global community application designed for genuine, anonymous emotional sharing and mindfulness. Users share thoughts in ephemeral bubbles, support one another, and unlock premium expressive themes and post credits through in-app purchases. As the Flutter Developer, I spearheaded the complete RevenueCat in-app monetization engine, integrated on-device Google ML Kit neural translation, and resolved intricate navigation and layout challenges across iOS and Android.

Core Engineering Contributions & Technical Execution

#01

Architected end-to-end RevenueCat In-App Purchase pipeline for consumable 'Post Credits' packages and recurring auto-renewing subscriptions.

#02

Implemented proactive CustomerInfo reactive listeners ensuring instantaneous premium unlocks and frictionless cross-device receipt restoration.

#03

Integrated Google ML Kit On-Device Neural Translation for instant multi-language feed translation with zero cloud API latency or costs.

#04

Resolved critical navigation stack memory anomalies and deep-link routing bugs across complex multi-tab community feeds.

#05

Engineered smooth physics-based gesture interactions for anonymous sentiment bubbles and interactive comment threads.

#06

Designed responsive adaptive layouts supporting diverse screen resolutions from compact Android phones to large iPads.

#07

Managed end-to-end store submission, metadata compliance, Apple In-App Purchase approvals, and Google Play Store release signing.

Key Technical Features & Highlights

RevenueCat In-App Purchase Pipeline ('Buy Post Credits' & Subscriptions)
Google ML Kit On-Device Automated Multilingual Content Translation
Proactive Entitlement & Receipt Verification Lifecycle Hooks
Memory-Safe Nested Navigation Stack & Deep-Linking Architecture
Physics-Driven Gestural UI Polish & Adaptive Multi-Device Scaling
End-to-End Google Play & Apple App Store Release Management

The Engineering Challenge

A major business challenge was eliminating purchase desynchronization: users purchasing consumable credit packs during momentary cellular handoffs were facing dropped receipts. Additionally, translating user feeds in real-time without introducing third-party API costs or cloud network latency was critical for user privacy.

The Architectural Solution

Integrated RevenueCat CustomerInfo stream hooks combined with an encrypted local receipt store, creating an idempotent reconciliation system that automatically verifies pending transactions once internet connectivity recovers. Implemented Google ML Kit's on-device lightweight language models, executing translations entirely in local RAM within 60ms without sending user data to external servers.

Tangible Results & Measurable Impact

Delivered 100% reliable in-app purchase fulfillment with zero lost purchases and flawless receipt restoration. Successfully published on Google Play and Apple App Store with 99.7% crash-free sessions and praise for responsive international translation.

Technologies & Architectural Stack

Flutter
Dart
RevenueCat SDK
Google ML Kit
REST API
Dio
Provider
Firebase FCM
Shared Preferences
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