Олег

Key assignments
iOS Engineer | Sonova AI Engineer | Capgemini.
Tech Stack : SwiftUI, Swift Concurrency, MVVM-C, BLE, SPM , Tech Stack: Python, Claude Code, OpenAI, LlamaIndex, ChromaDB,
Swift Testing, CI/CD, Git, Copilot PostgreSQL, pgbector.
▪ Designed and implemented a modular MVVM-C architecture Built red-team multi-agent system
to ensure long-term scalability, maintainability, and clear (Manipulator/Defender/Judge) simulating social engineering
separation of concerns across the application attacks — adversarial AI for security awareness training.
▪ Optimized Bluetooth Low Energy (BLE) communication Architected Jira-integrated agentic pipeline — BA subagent
Hranchenko Oleh protocols to ensure reliable, real-time connectivity and data
exchange between the app and hearing aid devices
transforms raw requirements into epics and user stories; QA
subagent generates test plans from stories; sequential
Software Engineer — iOS & Agentic Systems orchestration with interview loops, filesystem handoff contracts,
▪ Achieved 80% tests code coverage across critical components,
implementing comprehensive unit and integration tests to and quality gates.
ensure application reliability and stability Developed RAG-based resume ranking pipeline with semantic
Overview search over pgvector and ChromaDB.
iOS Engineer | Affirm Built agentic pipeline generating 30+ page technical architecture
Software Engineer with 9 years of production Tech Stack: Swift, SwiftUI, Swift Concurrency, XCTest, Bitrise, documentation automatically from codebase analysis.
experience across fintech, medical IoT, and e- Firebase, Git. Shipped automated Python unit test generator (Test Pilot) and
commerce — now specializing in agentic AI ▪ Implemented MVVM-C architecture, improved code prototyped fruit pest recognition system using CLIP + GPT-4 Vision
systems and LLM-integrated architectures. for agricultural AI client.
maintainability and scalability.
Known for bringing production discipline to AI Key skills
▪ High coverage by automated tests cut manual test time by
work: multi-agent orchestration, RAG pipelines, 99% and eliminated the need for a separate QA team. • Language: Swift, SwiftUI, SQL, Python
and intelligent automation designed to be • Tools: Xcode, Postman, VS Code, Swagger, Firebase, ML
testable, observable, and recoverable under real- iOS Engineer | McDonald’s
Tech Stack: Swift, SwiftUI, Combine, Obj-C, Realm, XCTest, • Database: Realm, SwiftData, MySQL, PostgreSQL
world conditions.
GitHub actions, Copilot • Cloud Platform: AWS, Azure
▪ Established robust testing practices through comprehensive • AI: OpenAI/DALL-E, Vector DB, LlamaIndex, AI Agents, RAG,
unit test development, ensuring code reliability and MCP, Claude Code, Copilot
facilitating confident refactoring • LLM Evaluation: DeepEval, RAGAS
▪ Enhanced application performance through systematic • APIs & Authentication: OAuth 2.0, REST APIs, JWT, Keychain
profiling, optimization, and tuning, reducing load times and Services
improving resource utilization.
Industries • Agile Project Management: JIRA, Kanban
iOS Engineer | RxPhoto • CI/CD: Git actions, Bitrise, AWS Device Farm, TeamCity
• Fintech / Payments Tech Stack: SwiftUI, Combine, AI, ML, ARKit, Vision, AVFoundation, • Development Practices: Agile Scrum, Kanban
• E-commerce / Retail XCTest • Framework: Catalyst, Core Data, Alamofire, Vision, ARKit
• Healthcare / MedTech
▪ Developed a surgical training application using ARKit, Vision, and on- Languages Focus areas
• IoT / Telecommunications device CoreML to detect surgical instruments, hand positioning, and
• AI / Agentic System • Ukrainian • L1 Industry Certification -
finger interactions on a physical mat with printed control zones —
enabling a touchless UI overlay recognized via iPad camera for real- Telecommunication
• English
time feedback and assessment • Agentic System Design / On-device AI