Rishat Zinatullin

• Owned development of core iOS features for real-time Forex trading and market data, including quotes, trading flows, deposits, and withdrawals. • Designed and owned architectural decisions for critical high-load modules, improving stability and scalability of real-time trading systems. • Implemented real-time data pipelines using WebSockets and reactive programming (RxSwift / Combine), ensuring sub-second quote updates under peak load. • Built backend-driven UI components and contributed to an internal design system, accelerating feature delivery and ensuring UI consistency across teams. • Optimized UI rendering and update pipelines for real-time trading screens, reducing UI latency and ensuring reliable sub-second updates during peak market volatility.

• Designed and built the iOS application architecture from scratch using SwiftUI and MVVM for a high-traffic media product. • Defined core architectural principles, including data flow, module boundaries, navigation, and dependency injection, enabling scalable feature development. • Developed a reusable UI component system and contributed to an internal SwiftUI design system, improving development speed and long-term maintainability. • Delivered multiple production features supporting traffic peaks during major sports events.

• Owned and delivered core iOS features for a high-load e-commerce app used by millions of users, focusing on performance, stability, and scalability • Solved product classification and support automation problems by building on-device image analysis using Core ML and Vision with pre-trained image classification and object detection models • Designed and implemented Vision → Core ML pipelines to process photos and video frames, mapping model outputs to product and issue categories used in real marketplace and support flows • Delivered automatic product categorization and a camera-based support feature, improving UX while keeping all inference fully on-device for performance and privacy • Improved performance of complex, data-heavy screens and contributed to shared UI components, helping keep the app responsive under peak traffic

• Improved legacy modules and assisted in architecture refactoring, increasing codebase maintainability.