Marvin Benigra

MOBILE APPLICATION DEVELOPER

Talent

Cagayan de OroMember since October 8, 2026

FlutterDartGetXBLoCProvider/ChangeNotifierFlutter WebNext.js 16ReactTypeScriptTailwind CSSShadcn UIZustandZodReact QueryNode.jsREST APIsAxiosPostgreSQLNeo4jRedisSQLiteHiveFirebaseGoogle ML KitTensorFlow LiteAWS RekognitionBiometricsCameraQRGPS

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FlutterDartGetXBLoCProvider/ChangeNotifier

About

Full Stack & Mobile Application Developer with 5+ years of experience building production-grade mobile and web applications. Strong specialization in Flutter/Dart, cross-platform architecture, API integration, state management, and application deployment, with recent full-stack experience across Next.js, TypeScript, Node.js, PostgreSQL, Neo4j, and Redis. Experienced in independently leading mobile development, modernizing legacy native applications, integrating device and biometric capabilities, and delivering clean, scalable software.

Experience

Mobile Application Developer (Flutter) at YAHSHUA Outsourcing Worldwide (2020 – 2024)

Served as the sole Mobile Developer for 3+ years, independently managing, scaling, and deploying the mobile suite across iOS and Android.
Led migration of legacy native Android and iOS applications to a unified, scalable Flutter architecture.
Architected and delivered cross-platform applications using Flutter and Dart with Clean Code and structured architecture practices.
Applied BLoC, GetX, and Provider/ChangeNotifier state-management patterns according to project requirements.
Integrated RESTful APIs, asynchronous data streams, secure local storage, and offline synchronization.
Integrated camera, GPS, geo-fencing, biometrics, QR scanning, and push notifications.
Managed the full mobile lifecycle from UI/UX implementation through deployment to Apple App Store, Google Play Store, and Huawei AppGallery.

Full Stack & Mobile Application Developer at MeldCX / Skunkworks (2024 – 2026)

Built high-performance cross-platform mobile and web applications using Flutter, Dart, and GetX.
Integrated Google ML Kit and TensorFlow Lite for on-device computer vision and liveness detection.
Developed responsive web interfaces with Next.js 16, TypeScript, Tailwind CSS, Shadcn UI, Zustand, Zod, React Query, and Axios.
Developed Node.js services and RESTful APIs; modeled relational data in PostgreSQL and graph relationships in Neo4j.
Implemented Redis caching and queuing to improve database performance and support background processing.