Faisal Nur Arif

Act as core engineer to migrate the app from a monolithic codebase to a modular architecture using UIKit and VIP (View-Interactor-Presenter), improving code ownership, build times, and scalability across feature teams.

Designed and built reusable SwiftUI and UIKit components — dynamic tooltip system with full-width positioning, custom spring-animated tab bars, congratulations popups, campaign mission/reward interfaces, and a Market Radar timeline UI — adopted across multiple product areas to improve visual consistency and reduce dependency on third-party libraries.

Designed and shipped the Sector feature, enabling users to browse and analyze stocks grouped by market sector (e.g., Finance, Technology, Energy), improving stock discovery and supporting thematic investment decisions.

Built TTImageViewUIKit, a custom UIKit image component that reduced image payload size by an average of 94–95% (e.g., 816 KB → 27 KB, 302 KB → 5 KB, 131 KB → 3 KB) — significantly lowering network consumption, reducing main-thread pressure for smoother scrolling on image-heavy screens like Exclusive Research (thousands of images), and cutting memory usage on long lists. Added a toggleable in-app debug overlay (green = cached, red = uncached) for quick cache inspection.

Designed and shipped Content Switcher on the Deals page (UIKit, AsyncDisplayKit, RxSwift): +178% GMV, +73% paid orders, +53% user clicks.

Implemented Bonus Cashback homepage entry point (Swift, UIKit, TCA), driving up to $10.3M daily GMV (69.13% of total) and +$2.7M in bonus-cashback revenue (+0.45%).

Built and optimized Daily Benefit (Swift, VIPER, RxSwift, gRPC) with coupon bundles and milestones: +2.66% main orders/u, +3.45% CO, +3.56% repurchase rate (RPD7).

Delivered Bedug Berhadiah (Ramadan Surprise Giftbox, UIKit/RxSwift/MVVM): +3.74% GMV/user, +1.06% main orders/user, +2.56% AOV.

Shipped Misi Belanja shopping-quest feature (Swift, gRPC, VIPER) across iterations: +1.46% GMV/user, +0.75% main orders/user, ROAS 13.97, ROI2 1.22.

Developed Content Mirroring for Feed Profile (Swift, UIKit, MVVM, custom video player): distributable videos 47k → 12.5M, daily publications 2.7k → 128k, CTR +11.6%, GPM +64.6%, first-frame success +25.9%, load time −22.9% (1.16s → 0.89s).

Shipped Partial Order Fulfillment (Swift, UIKit, MVVM, REST API), enabling sellers to manage inventory more efficiently and reducing fulfillment delays.

Expanded Daily Benefit entry point to bottom navigation (Swift, UIKit, Texture, MVVM), improving new-user retention by 5%.

Integrated ByteIO Tracker into the iOS app (Phase 1 deployment), achieving 90%+ GMV attribution and significantly improving traceability of gross merchandise value.

Led gRPC bandwidth optimization via networking-layer refactor, reducing backend usage by 45% (7.62 → 4.47 RPS).

Migrated Feed Profile view controllers from Texture → UIKit, improving FPS +1.8% and halving sample size (66 → 38), reducing tech debt and aligning with iOS best practices.

Refactored DiscoveryParentViewModel API-fetching mechanism for improved readability, maintainability, and scalability without regressions.

Developed intuitive UI with VIPER + UIKit, improving readability and accessibility and lifting user engagement by +10%.

Implemented Live Class, Live Chat, and Consultation features (WebSocket, RxSwift, UIKit), improving user engagement by +12%.

Built and shipped Mekari Chat and Talenta apps (Swift, Firebase, REST API), increasing user engagement by 7% and reducing app bugs by 23%.

Optimized SQLite queries in Swift, reducing offline data retrieval time by 40% and improving transaction reporting.

Integrated AsyncDisplayKit (Texture) for rendering, reducing UI load times by 9% and enhancing retention.

Reduced IT support ticket resolution time by 5% through proactive maintenance procedures.