Hello, I am a Senior iOS Engineer with 6+ years of commercial experience, working in teams ranging from 2 to 40 members, both remotely and on-site.
Built full development cycles — from gathering product and business requirements to establishing fully automated release processes with high test coverage, analytics, and CI/CD. Expert in functional reactive programming and declarative UI implementation.
In addition to core iOS knowledge, implemented multiple features involving low-level graphics and machine learning.
Passionate about the evolution of Apple’s ML and AI technologies and actively stay up to date with platform advancements.
iOS: Swift, Objective-C, Kotlin, SwiftUI, UIKit, Combine, RxSwift, async/await, GCD, OperationQueue, Realm, CoreData, SwiftData, Alamofire, GraphQL, Moya, WebSockets, MVVM, MVI, TCA, VIPER, KMM, Metal, CoreML, Vision, XCTest, XCUITest, SnapKit, AVFoundation, CoreAnimation, CoreGraphics
Other: Fastlane, Github Actions, CI pipelines, SPM, Git, Xcode Instruments
06/2024 – 02/2026 (1.8 year)
• Owned core trading flows (quotes, orders, deposits, withdrawals) to support 1M+ DAU, ensuring stable execution during peak market volatility
• Built a real-time market data pipeline with WebSockets and RxSwift, handling 31,200 concurrent sessions with 210–390 ms quote latency
• Reworked scrolling, layout passes, and cell reuse in real-time screens to achieve stable 55–60 FPS under continuous data updates
• Refactored state management and concurrency in latency-sensitive flows, reducing crash rate on mission-critical screens by 41.6%
• Implemented CI/CD pipelines with Fastlane and GitHub Actions, automating builds, tests, code signing, and TestFlight releases, cutting release-related regressions by ~35%
Technologies: UIKit/SwiftUI, RxSwift/Combine, WebSockets, VIPER, Alamofire, Fastlane, GitHub Actions, XCTest, XCUITest
04/2023 – 06/2024 (1.2 year)
• Designed and implemented the iOS architecture from scratch to scale the product to 8.4M MAU with predictable performance
• Built a reusable UI component system used across 40+ screens, reducing feature delivery time by 24.8% and improving UI consistency
• Optimized data flow and rendering for data-heavy views, reducing average screen load time from 3.18s to 2.27s
• Stabilized the app during 3.2–5.1x traffic spikes at major sports events, lowering UI-related crash rate by 29.4%
• Introduced architectural guidelines and mentored 4 iOS engineers, reducing post-release UI regressions by ~30%
Technologies: SwiftUI, Combine, MVI, GraphQL, CoreData, Metal, XCTest
01/2021 – 04/2023 (2.3 year)
• Developed core e-commerce flows (catalog, product, checkout) for an app with 12.6M MAU, focusing on peak-load reliability
• Integrated on-device ML for product categorization and camera-based flows used by 520K+ users, keeping 100% inference on-device
• Optimized product and checkout performance during sales events, reducing worst-case load time from 5.6s to 2.9s
• Improved long-session stability by reducing memory usage by 21.3%, lowering background terminations on older devices
Technologies: UIKit, RxSwift, MVVM, Alamofire, CoreML, Vision, Metal, SnapKit, XCTest
01/2020 – 01/2021 (1 year)
• Refactored and stabilized legacy iOS modules used by 5.1M clients, improving maintainability and reducing technical debt
• Fixed threading and unsafe state handling in critical banking flows, decreasing crash rate by 19.7%
• Optimized account and payment screens, reducing average load time by 1.3–1.6s without violating regulatory constraints.
Technologies: UIKit, MVVM, SnapKit, XCTest, XCUITest
Kazan Federal University
Bachelor of Science in Software Engineering