Deepthi C
I am a Senior Mobile Application Developer with 8+ years of experience building high-quality, secure, and scalable applications across iOS and Android.
About
I am a Senior Mobile Application Developer with 8+ years of experience building high-quality, secure, and scalable applications across iOS and Android. I specialize in native development using Swift, SwiftUI, UIKit, Kotlin, and Android Jetpack, and I’m highly skilled at creating robust, user-focused mobile solutions for banking, travel, insurance, government, and e-commerce domains.
My strengths include clean architecture, MVVM, modular codebases, secure authentication (OAuth2/JWT, biometrics), offline-first data layers, and delivering consistent, reliable app performance in real-world environments. I have deep experience with API integrations (REST/GraphQL), payments (Apple Pay/Google Pay/Stripe/PayPal), and automated testing frameworks like XCTest, XCUITest, and Espresso.
I excel in Agile/Scrum teams, collaborate closely with product, backend, QA, and DevOps, and maintain a strong focus on sprint delivery, CI/CD, and defect-free deployments. Whether building new features, modernizing legacy code, or optimizing performance, I bring a detail-oriented, secure-coding mindset and a track record of delivering production-ready mobile applications that scale.
- 8 years' experience
- Joined December 2025
Industry experience
- Financial Services
- Travel & Hospitality
- Government
- Software & Internet
- Professional Services
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Work experience· 7 roles
Designed and developed secure, responsive SwiftUI/UIKit and Kotlin/Jetpack modules for account overview, statements, transaction details, and card management with optimized rendering and smooth navigation experiences. Implemented biometric workflows using Face ID, Touch ID, and Android BiometricPrompt, integrated with OAuth2/JWT token services, encrypted session handling, and secure data protection using Keychain/Keystore. Enhanced banking flows such as Zelle, ACH transfers, recurring payments, and bill pay with layered validation, backend verifications, and user-friendly error messaging. Integrated REST/GraphQL APIs with structured caching, pagination, and offline-aware strategies. Built deep-linked APNs/FCM notifications for fraud alerts and important account updates. Added offline-first support using Core Data (iOS) and Room DB (Android). Migrated Objective-C/Java modules to modern Swift/Kotlin implementations. Performed performance tuning with Xcode Instruments and Android Profiler
Designed and developed secure, responsive SwiftUI/UIKit (iOS) and Kotlin/Jetpack (Android) modules for account overview, statements, transaction details, and card management with optimized rendering and smooth navigation. Implemented biometric workflows (Face ID, Touch ID, Android BiometricPrompt) integrated with OAuth2/JWT token services, encrypted session handling, and Keychain/Keystore-based data protection. Enhanced banking flows such as Zelle, ACH transfers, recurring payments, and bill-pay with layered validation and fraud-risk checks. Integrated REST and GraphQL APIs with caching, pagination, retry policies, and offline-aware strategies to ensure consistent performance during peak traffic and unstable networks. Built deep-linked APNs/FCM notifications for fraud alerts and account updates. Added offline-first support using Core Data (iOS) and Room DB (Android). Migrated Objective-C/Java components to modular Swift/Kotlin. Performed performance tuning with Xcode Instruments and An
Developed travel booking, cabin selection, digital check-in, itinerary planning, and onboard experiences across iOS and Android. Implemented offline-ready itinerary modules using Core Data/Room and background tasks; designed satellite-friendly GraphQL communication with fragment mapping and batching. Integrated Apple Pay, Google Pay, Stripe, and PayPal with secure tokenization and multi-currency support. Built reusable UI components and lazy-loading optimizations to reduce startup time. Added deep-linked APNs/FCM notifications for reminders and updates. Optimized image-heavy modules with memory-efficient caching and asynchronous decoding.
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