Senior Android Engineer with 7+ years building performant, scalable mobile applications. Expert in Kotlin, Jetpack Compose, and modern Android architecture. Passionate about clean code, AI-assisted development workflows, and delivering exceptional user experiences.
Senior Android Engineer
Results-driven Senior Android Engineer with extensive experience in designing, developing, and shipping high-quality Android applications used by millions of users. Proven track record of leading technical initiatives, mentoring engineers, and adopting cutting-edge technologies including AI-assisted software delivery to accelerate development cycles while maintaining code quality and reliability.

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Profile
Experience
TechNova Mobile
Lead Android engineer responsible for architecture decisions, feature development, and team mentorship. Drive technical roadmap for flagship consumer app with 10M+ downloads. Collaborate with product and design teams to deliver high-impact features on schedule.
SmartShop AI Shopping Assistant
- Conversational AI shopping assistant integrated into e-commerce app, enabling natural language product search, personalized recommendations, and order tracking through a hybrid retrieval and reranking system.
- MVVM with Clean Architecture, Kotlin Coroutines, Jetpack Compose, Room, Retrofit, Hilt DI
- Led end-to-end Android implementation including streaming UX for real-time AI responses, tool-state interfaces for multi-step actions, and human review flows for sensitive transactions. Implemented context/citation quality tracking and model routing with fallback strategies.
- Tech Stack: Kotlin Jetpack Compose AI SDK Integration RESTful APIs Offline-First Architecture Unit Testing MCP Integration
- Challenges: Streaming AI Response UX: Designed and implemented streaming text UI with proper loading states, interruption/retry mechanisms, and citation displays for AI-generated product recommendations, improving user engagement by 35%.
- Challenges: MCP Integration with Scoped Permissions: Built secure Model Context Protocol integration with granular permission scoping, enabling controlled access to user cart, order history, and preferences while maintaining audit trails.
- Challenges: AI-Assisted Feature Delivery: Leveraged Claude Code and GitHub Copilot for task decomposition, repository-context exploration, and test generation. Established human-supervised workflow with mandatory local validation, CI checks, code review, and rollback readiness, reducing feature delivery time by 25%.
- Challenges: Evaluation and Regression Testing: Created evaluation datasets for response quality, implemented automated regression testing for AI features, and built tracing/observability dashboards to monitor latency, cost, and user satisfaction metrics.
AppForge Solutions
Developed and maintained multiple Android applications for clients across fintech and healthcare sectors. Focused on building robust, testable code and collaborating with cross-functional teams.
HealthTrack Patient Portal
- HIPAA-compliant patient portal for secure health record access, appointment scheduling, and telemedicine integration.
- MVP Architecture, Kotlin, RxJava, Dagger 2, Firebase, Retrofit, SQLite
- Implemented core features including secure authentication, offline data synchronization, and push notification system. Established CI/CD pipeline and code review practices.
- Tech Stack: Kotlin RxJava Firebase Cloud Messaging RESTful APIs Security Best Practices Unit Testing CI/CD
- Challenges: Offline-First Architecture: Designed robust offline-first data layer with conflict resolution, ensuring reliable access to critical health information regardless of network conditions.
- Challenges: Security Hardening: Implemented certificate pinning, encrypted local storage, and biometric authentication, passing third-party security audits with zero critical findings.
Skills
Android Development
- Expert in Kotlin and Java with deep knowledge of Android SDK, Jetpack libraries (Compose, Navigation, ViewModel, Room, WorkManager), and modern UI development with Compose
- Proficient in building responsive, accessible interfaces following Material Design 3 guidelines
Architecture & Design Patterns
- Extensive experience with MVVM, MVI, and Clean Architecture
- Skilled in dependency injection with Hilt/Dagger, repository pattern, use cases, and modularization strategies for large-scale applications
Performance Optimization
- Proven ability to diagnose and resolve performance bottlenecks using Android Profiler, Systrace, and custom telemetry
- Expertise in memory management, battery optimization, lazy loading, and efficient RecyclerView implementations
AI-Assisted Software Delivery
- Proficient with Claude Code and GitHub Copilot for task decomposition, repository-context exploration, implementation planning, test generation, PR review assistance, debugging, and documentation updates
- Maintains rigorous human-supervised workflow: generated changes undergo local validation, CI checks, code review, security/permission review, and rollback readiness
- Applies schema-constrained structured outputs and tool calling for reliable AI integrations
Testing & Quality Assurance
- Comprehensive testing strategy including JUnit, Mockito, Espresso, and UI Automator
- Experience with test-driven development, snapshot testing, and maintaining high code coverage with meaningful assertions
DevOps & CI/CD
- Proficient in Git, GitHub Actions, Fastlane, and Firebase App Distribution
- Experienced in setting up automated build pipelines, code quality gates, and release management for frequent, reliable deployments

