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Open Source Contributions

Active contributions to the React Native ecosystem, focusing on performance, native modules, and multimedia integration using modern architectures like JSI and New Architecture.

My open-source work is driven by a desire to push React Native beyond its perceived limits. I focus on low-level native modules, performance optimization, and bridging complex native SDKs. Below are detailed highlights of my contributions.

Key Projects

react-native-nitro-modules

The next-generation framework for building native modules.

  • Contribution: I contributed to the core C++ scaffolding generation and Type generation logic.
  • Deep Dive: Nitro Modules automates the creation of JSI bindings. My work involved ensuring that complex TypeScript unions and generic types were correctly mapped to efficient C++ structures, reducing the boilerplate developers need to write by 90%.

react-native-bottom-tabs

A truly native implementation of bottom tabs, abandoning the View-based approach.

  • Role: Core Contributor
  • Technical Detail: Standard RN tabs are just JS Views. This library wraps UITabBarController (iOS) and BottomNavigationView (Android).
  • My Impact: I worked on the Android Fragment management. React Native limits how Fragments can be nested. I implemented a workaround using a custom FragmentContainerView that correctly detaches hidden tabs from the view hierarchy (saving memory) while preserving their JS state, solving a long-standing issue where background tabs would lose their scroll position.

react-native-tiktok-event-sdk

Bridge for the TikTok Business SDK for ad attribution.

  • Role: Maintainer
  • Challenge: The TikTok SDK behaves differently on iOS (SceneDelegate life cycle) vs Android (Activity life cycle).
  • Solution: I harmonized the API surface, abstracting away the initialization differences. I also added support for SKAdNetwork (StoreKit Ad Network) properties on iOS, allowing advertisers to utilize Apple's privacy-preserving attribution framework.

expo-speech-recognition

Robust, offline-capable speech recognition for Expo.

  • Role: Feature contributor
  • Focus: Expanding language support and adding "Partial Results" support for Android.
  • Detail: Android's SpeechRecognizer intent is tricky. I refactored the intent handling to properly stream partial validation results back to JS via an event emitter, enabling "live transcription" UIs where text appears as you speak, rather than waiting for silence.

Philosophy

I believe in "Native when necessary, JS when possible." My contributions often sit right at that boundary—optimizing the heavy lifting in C++/Kotlin/Swift so that the product engineer can stay in the fast, iterative JavaScript world without sacrificing performance.