Full Stack Architecture
Overview
I design and build complete software systems — from database architecture and
API layers to frontend interfaces, mobile applications, and production
infrastructure.
My experience spans healthcare research platforms, enterprise dashboards, and
client-facing applications that require:
- Secure data handling
- High availability
- Real-time capabilities
- Scalable backend systems
- Maintainable frontend architecture
- Reliable cloud infrastructure
I approach full stack engineering as system design — not isolated feature
development.
Architectural Philosophy
1. Design for Scalability Early
Scalability is easier to build in from the beginning than to retrofit later.
I architect systems using:
- Clear domain modeling
- Service-oriented backend structures
- Stateless API design
- Horizontal scaling strategies
- Database indexing and query optimization
- Caching layers (Redis)
This ensures systems remain stable as usage grows.
2. Strong Separation of Concerns
Clean architecture enables long-term maintainability.
- Rails APIs handle business logic and persistence
- React / React Native manage presentation and user interaction
- Background workers handle asynchronous processing
- Infrastructure handles reliability and deployment automation
Each layer has a defined responsibility.
3. API-First System Design
I build backend systems as independent API services that power:
- Web applications (React)
- Mobile applications (React Native)
- Third-party integrations
- Webhook-driven external systems
This creates flexibility and future extensibility without rewriting core logic.
4. Security by Default
In healthcare-focused systems, security cannot be optional.
I implement:
- Role-based access control
- Secure authentication flows (JWT / OAuth / 2FA)
- Encrypted credentials
- SSL/TLS enforcement
- Secure storage strategies
- Infrastructure hardening
Security decisions are made at architecture level, not patched later.
Performance is designed — not debugged.
Backend:
- N+1 query prevention
- Index optimization
- Read replicas
- Background processing
Frontend:
- Code splitting
- Memoization
- Bundle optimization
- Virtualized rendering
Mobile:
- Rendering optimization
- Offline-first strategies
- Memory management
Infrastructure:
- CDN configuration
- Caching layers
- Monitoring & alerting
End-to-End System Example
A typical system I architect includes:
Backend (Rails)
- REST or GraphQL APIs
- Secure authentication & authorization
- Background processing
- Caching with Redis
- MySQL/PostgreSQL database
- File storage (S3)
Web Frontend (React)
- Component-driven UI
- Centralized state management
- API integration
- Real-time updates
- Accessibility compliance
Mobile (React Native)
- Shared business logic
- Offline data persistence
- Push notifications
- Biometric authentication
- OTA update support
Infrastructure (AWS / Docker)
- EC2-hosted services
- Managed databases (RDS)
- CI/CD pipelines
- Zero-downtime deployments
- Monitoring and alerting
- Automated backups
Reliability & Operations
Production systems require operational discipline:
- CI/CD automation
- Staging & production parity
- Deployment documentation
- Incident response planning
- Proactive monitoring
- Disaster recovery strategies
I treat infrastructure as part of the product — not an afterthought.
What Full Stack Means to Me
Full stack is not about knowing many frameworks.
It means:
- Understanding how systems behave under load
- Designing APIs that evolve safely
- Building interfaces that scale
- Ensuring deployments are reliable
- Protecting user data responsibly
- Thinking in systems, not features
I build software that is:
- Scalable
- Secure
- Maintainable
- Observable
- Production-ready
Core Stack
- Ruby on Rails
- React & Next.js
- React Native
- MySQL / PostgreSQL
- Redis
- AWS
- Docker
- CI/CD Automation
Closing
From database schema design to mobile deployment pipelines, I take ownership
of the full software lifecycle.
My focus is building systems that work today — and continue working reliably
as they grow.