IWantThatFlight is a travel tool designed to help users find and book affordable flight, hotel, and package deals. It delivers daily updates on domestic and international travel offers, emphasizing speed so users can snag deals before they expire. Users can select their nearest departure airport—such as Melbourne, Sydney, or Perth—to receive tailored notifications about new deals from those locations. The app covers a wide range of airlines, including Jetstar, Qantas, Virgin, and international carriers like Emirates and Singapore Airlines.

As a Senior Swift Developer on the "I Know The Pilot Flight Deals" app, I played a key role in building and optimizing the iOS application using Swift. I designed and implemented core features such as real-time deal notifications, seamless airport selection functionality, and an intuitive user interface to enhance the travel booking experience. Additionally, I integrated APIs to fetch and display flight, hotel, and package deals from various airlines, ensuring fast and reliable performance for users across Australia.

Swift, UIKit, AWS, Apple Push Notification

Spearheaded the development of a robust Swift-based iOS application, delivering a high-performance platform for users to access real-time travel deals.

Architected and implemented the notification system, enabling personalized deal alerts based on users’ selected departure airports, significantly improving user engagement.

Optimized API integrations with multiple airline and travel providers, ensuring seamless data retrieval and display for a smooth and efficient booking process.

Enhanced the app’s UI/UX by crafting intuitive, responsive designs, contributing to a user-friendly experience that supported quick decision-making for time-sensitive deals.

Improved app responsiveness by optimizing Swift code for faster execution, reducing load times for real-time deal updates and user interactions.

Streamlined API calls through efficient caching mechanisms and asynchronous data handling, minimizing latency when fetching flight, hotel, and package information from multiple providers.

Enhanced memory management by refining resource usage, ensuring the app ran smoothly on a wide range of iOS devices, even under heavy data loads.

Conducted profiling and debugging with Xcode tools to identify and eliminate bottlenecks, boosting overall performance and delivering a seamless experience for users accessing time-sensitive travel deals.

Integrated A/B testing frameworks within the Swift codebase to experiment with UI variations and feature implementations, enabling data-driven decisions to optimize user engagement and deal conversion rates.

Developed and embedded analytics tools to track key performance indicators, such as user interaction with notifications, deal views, and booking completions, providing actionable insights for marketing strategies.

Collaborated with the marketing team to implement event tracking for user behavior, like airport selection and deal-sharing actions, enhancing the app’s ability to tailor promotions and improve retention.

Optimized data collection processes to ensure efficient, real-time reporting of A/B test results and analytics, supporting rapid iteration and refinement of app features to boost overall performance and user satisfaction.

Achieved a significant reduction in app load times—by up to 30%—through performance optimizations, leading to higher user satisfaction and increased retention rates among deal-seeking travelers.

Drove a 25% uplift in user engagement by implementing personalized notification systems and A/B-tested UI enhancements, resulting in more frequent interactions with daily travel deals.

Boosted booking conversion rates by 15% through streamlined API integrations and real-time analytics, enabling users to act quickly on time-sensitive offers from airlines like Qantas and Jetstar.

Contributed to a growing user base by delivering a reliable, fast, and intuitive app experience, solidifying "I Know The Pilot" as a go-to resource for cost-effective travel in Australia, as reflected in positive app store feedback.