Results-Driven iOS Developer with Swift Expertise

Koushik

Kambham

Cell: 361-***-****

Email: ******************@*****.***

LinkedIn: https://www.linkedin.com/in/koushikkambham/ ㅡ

Objective

Results-driven iOS Developer with experience designing, developing, and optimising large-scale, high-performance applications across news, travel, and retail domains. Skilled in Swift, SwiftUI, and UIKit, with hands-on expertise in MVVM/MVVM-C architecture, RESTful and GraphQL APIs, and Core Data for scalable and maintainable mobile solutions. Experienced in performance profiling, CI/CD automation (GitHub Actions), and testing frameworks (XCTest). Passionate about building user-friendly, high-quality applications that deliver seamless experiences and align with business goals.

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Programming

Skills

iOS Development: Swift,

Obj-C, UIKit, SwiftUI, XCode,

Core Animation, MapKit,

AVFoundation, Push

Notifications (APNS),

Cocoapods, Alamofire.

Web Technologies: React,

Node.js, HTML5, CSS,

JavaScript, Python.

Databases: Core Data,

Firebase (Realtime DB,

Authentication), SQL,

MongoDB

Architecture & Patterns:

MVVM, MVC, Combine, TDD,

Dependency Injection.

Networking & APIs: RESTful

APIs, JSON, GraphQL, XML.

Testing & Debugging: Unit

Testing (XCTest, TDD, BDD),

UI Testing, XCode

Instruments, Charles, Time

Profiler.

DevOps & Tools: Git

(GitHub), SourceTree, Agile,

Scrum.

Experiences

Cognizant / iOS Developer

Client: Food Lion - Remote

Oct 2024 - Present

Link: https://apps.apple.com/us/app/food-lion/id1191337971 Description: A comprehensive grocery shopping app that makes fresh, affordable shopping easy and convenient. Users can browse weekly store ads, create and manage shopping lists, scan product barcodes, apply digital coupons with MVP card integration, place pickup/delivery orders, and track order status in real-time. The app delivers a seamless shopping experience through optimized GraphQL/REST APIs, intelligent offline caching, modern SwiftUI/UIKit hybrid architecture, and personalized promotional offers.

● Worked on iOS application using the MVVM-Coordinator pattern with dependency injection, ensuring a modular, testable codebase and enabling rapid feature development across 35+ screens.

● Modernized UI components with SwiftUI while maintaining UIKit for complex legacy screens (tab bar, custom navigation), enhancing app responsiveness and adopting Apple's latest framework standards

● Integrated GraphQL APIs using Apollo Client alongside REST endpoints, reducing payload sizes by 45% through selective field queries and enabling real-time inventory updates via subscriptions

● Engineered intelligent caching solution using Core Data and Apollo Cache, enabling robust offline functionality for browsing products and weekly ads, reducing redundant API calls by 35%

● Developed barcode scanning feature using AVFoundation and Vision framework, allowing users to quickly scan products and add items to shopping lists, reducing manual search time by 60%

● Built dynamic weekly ad browsing module with keyword search, category filtering, and store-specific promotions, enabling users to add sale items directly to lists and increasing promotional purchases by 40%

● Implemented comprehensive shopping list management system with real-time Firebase synchronization, supporting multiple lists, item ㅡ

Languages

English (professional working

efficiency).

categorization, quantity tracking, and cross-device access

● Integrated MVP loyalty card registration and digital coupon clipping system, enabling personalized offers and exclusive savings, improving customer retention by 32%

● Developed pickup/delivery order placement flow with time slot selection, substitution preferences, and payment processing using Stripe SDK and Apple Pay, reducing checkout abandonment by 28%

● Refactored network layer using Combine framework and async/await, implementing intelligent retry logic and error handling, reducing API error rate by 45%

● Enhanced app performance through memory profiling with Xcode Instruments and lazy loading patterns, optimizing image caching and achieving 50% faster scroll performance across product catalogs

● Automated CI/CD pipeline using GitHub Actions with XCTest automation, achieving 85%+ test coverage, reducing deployment time by 40%, and integrating Firebase Crashlytics to improve crash rate from 2.8% to 0.9%

Key Technologies: Swift, SwiftUI, UIKit, MVVM-Coordinator, GraphQL (Apollo Client), Core Data, NSCache, Combine, Async/Await, AVFoundation, Vision, Firebase (Analytics, FCM, Firestore, Crashlytics), Alamofire, NSURLSession, Stripe SDK, Apple Pay, Keychain, REST APIs, Deep Linking, Xcode Instruments, XCTest, GitHub Actions, Git

Priceline/ iOS Developer

Norwalk CT

Oct 2023 – Sept 2024

Link: https://apps.apple.com/us/app/priceline-hotel-car-flight/id336381998 Description: This travel app features in-app-only hotel, flight, and rental car deals. Features include search filters, saving favourites to compare, and booking with payment online. The app also has a trip feature to keep bookings, itineraries, and plans in the app.

● Migrated from MVP to MVVM-C, improving the app’s modularity, scalability, and testability, ensuring a more maintainable architecture.

● Developed an Express Checkout system using Stripe SDK, enabling secure and seamless hotel and car rental payments with Apple Pay integration for a faster transaction experience.

● Implemented a Dynamic Hotel Search & Filtering module, allowing users to apply filters such as price, amenities, distance, and user ratings, optimizing search results with efficient API requests.

● Enhanced interactive map-based hotel discovery using CoreLocation and Google Maps SDK, enabling users to view nearby hotels and car rental locations on an interactive map and plan road trips effortlessly.

● Built an Offline Booking & Trip Management system using CoreData caching, ensuring users can access their reservations and itineraries without an internet connection.

● Optimized API communication using Alamofire and Codable, ensuring efficient data handling and reducing unnecessary network calls, leading to faster load times.

● Applied Grand Central Dispatch (GCD) for efficient multi-threading, implementing dispatch barriers to prevent race conditions, ensuring a smooth, responsive UI experience even during high-load operations.

● Integrated Dependency Injection to improve code modularity and testability, especially for managing database helper instances and network layers.

● Managed GitHub repositories, handling branching, pull requests, merges, and releases for structured version control and code collaboration.

● Worked in an Agile Scrum environment, collaborating closely with backend engineers, UX designers, and QA teams, participating in daily stand-ups and bi-weekly sprint reviews to drive efficient feature development.

● Used JIRA for sprint planning, tracking epics, user stories, and bug fixes, ensuring seamless workflow management and timely feature releases.

Key Technologies: Swift, SwiftUI, UIKit, MVVM-C, CoreData, CoreLocation, Combine, Alamofire, Stripe SDK, Google Maps SDK, REST APIs, GCD, Jenkins, SwiftLint, SonarQube, GitHub Actions, Xcode Instruments, JIRA. News18/ iOS Developer

Client: News18 - Hyderabad, India

Aug 2022 – Jun 2023

Link: https://apps.apple.com/us/app/truffle-restaurant-tracker/id1553919410 Description: A dynamic news application offering real-time national and regional updates, breaking news alerts, and live video streaming. The app provides users with access to stories across multiple categories such as politics, sports, entertainment, and business, along with personalized notifications and in-app video content. It delivers a seamless news consumption experience through optimized APIs, modern UI, and enhanced performance for both iPhone and iPad users.

● Developed and maintained core modules of the News18 iOS application using Swift and MVVM architecture, ensuring scalable and maintainable code.

● Implemented live news and video streaming features with optimized playback using AVPlayer and efficient caching strategies.

● Integrated RESTful APIs for dynamic content updates, category-based filtering, and personalized push notifications.

● Enhanced the UI/UX using SwiftUI and UIKit, adding dark/light mode support and improving accessibility across devices.

● Built regional language support modules to serve localized news content across multiple Indian languages.

● Integrated Firebase Crashlytics and Xcode Instruments for performance monitoring, reducing app crashes and improving load times.

● Utilized Combine for reactive programming and asynchronous updates, improving data handling and responsiveness.

● Implemented ad modules using Google AdMob and in-app banner placements, contributing to increased ad revenue.

● Collaborated with product owners, QA, and backend teams in an Agile environment using Jira and Git, ensuring timely delivery of features and bug fixes.

PeopleTech/ iOS Developer

Client: Truffle - Hyderabad, India

May 2021 – July 2022

Link: https://apps.apple.com/us/app/truffle-restaurant-tracker/id1553919410 Description: Truffle is an iOS and iPad app revolutionizing the dining experience, allowing users to bid on restaurant tables, reducing wait times. The app features robust push notifications, secure user authentication, and a sophisticated administrative iPad app with intricate UI and drag-and-drop options for efficient floor management, ensuring a seamless and innovative dining solution.

● Developed Truffle app for iOS and iPad using Swift programming languages.

● Implemented robust push notification services via Firebase Cloud Messaging for effective user communication.

● Integrated CLLocationManager Framework to utilize user location for enhanced restaurant-related features.

● Followed the Model-View-Controller (MVC) pattern for a scalable and maintainable codebase.

● Designed and implemented custom UI components, including a circular slider, for an enriched user experience.

● Developed PartyViewController, a specialized view controller for dynamic party size specification.

● Integrated Apple's MapView for visual representation of nearby restaurants and user-friendly directions.

● Implemented robust error handling mechanisms for scenarios like no internet connection and service area limitations.

● Orchestrated RESTful API integration for real-time data retrieval on nearby restaurants.

● Facilitated bi-directional communication between Views and Models, adhering to the MVC design pattern.

● Designed intricate drag-and-drop options within the administrative app for streamlined floor management.

Education

Texas A&M University - Corpus Christi—Master of Science: Computer Science JNTUH University—Bachelor of Science: Computer Science

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