● Client: SiriusIQ — Healthcare / Digital Labor Automation Platform (US). ● Led Flutter development of a cross-platform mobile application for a US-based healthcare automation platform. ● Designed and implemented CI/CD pipelines using GitHub Actions and GitFlow, improving release reliability and deployment speed. ● Integrated Firebase services (Auth, Firestore, Cloud Functions) and OpenAI API to support AI-driven features. ● Client: Roof ScanAI — AI-Powered Field Inspection & Roof Assessment Application (US). ● Built a Flutter proof-of-concept mobile application for on-site roof inspection and assessment. ● Implemented camera-based scanning with AI-driven tile type/manufacturer recognition, enabling faster and more accurate repair estimation. ● Designed end-to-end inspection workflow allowing field engineers to generate structured reports and submit them to the service provider. ● Client: Large US Healthcare Enterprise (NDA). ● Contributed to development and maintenance of a large-scale native iOS application deployed across 200+ client organizations. ● Migrated legacy async code to Swift Concurrency (async/await), improving readability, reliability, and maintainability. ● Introduced and enforced SwiftLint with strict pull request validation, preventing merges with linting violations.

● Client: Discovery Vitality — Healthcare & Wellness Platform (US, UK, Global). ● Contributed to development and maintenance of a large-scale iOS ecosystem supporting multiple regional healthcare and wellness applications. ● Delivered new product features and enhancements under strict business and compliance requirements across different markets. ● Performed complex branch and release merges, reconciling long-lived feature branches with active release branches. ● Managed and resolved merge conflicts across Xcode project files, storyboards, Swift source code, Fastlane configs, and CocoaPods dependencies. ● Collaborated with cross-functional teams to ensure timely delivery, release stability, and consistent behavior across multiple branded applications.

● Designed and delivered a beginner-level iOS development course from scratch. ● Covered core iOS concepts including Swift, UIKit, application architecture, and development best practices. ● Mentored students through hands-on projects, code reviews, and practical assignments. ● Helped junior developers build a strong foundation for real-world mobile development.

● Product startup specializing in AR/AI technologies, computer vision, and real-time video processing for mobile applications. ● Developed and shipped multiple product mobile applications built on Banuba's proprietary AR and computer vision technologies, including face tracking, filters, and real-time video effects. ● Led full-cycle iOS development of consumer apps using Swift, UIKit, and SwiftUI — from architecture and core features to App Store release and post-launch support. ● Designed and maintained client-side architectures for high-performance AR applications, focusing on real-time rendering, camera pipeline optimization, and smooth UI performance. ● Integrated ML and neural network components into mobile applications, enabling face detection, tracking, and animation features. ● Worked on video and image processing pipelines, including integration of internal C frameworks and optimization of rendering using Metal and OpenGL. ● Implemented and maintained monetization, analytics, subscriptions, in-app purchases, and push notifications across multiple consumer products. ● Collaborated with R&D teams to build prototype sandboxes for testing neural networks, depth data, and experimental AR features.