Backend Engineer | Full Stack Developer | DevOps Enthusiast
Building scalable APIs, real-time systems, and intelligent solutions
I'm a software engineer focused on backend development with a strong foundation in building scalable APIs, real-time systems, and fault-tolerant applications. I specialize in modern frameworks like NestJS, Phoenix, and React, with deep expertise in functional programming and AI/LLM integration. I leverage LangChain, RAG, and vector databases to deliver intelligent solutions that meet complex business requirements.
Phoenix/Elixir Backend Patterns
- Actor model concurrency with GenServers and Supervisors for fault tolerance
- Phoenix Channels for real-time WebSocket connections at scale
- Ecto schemas with changesets for data validation and database interactions
- OTP applications with supervision trees for self-healing systems
- Pattern matching and functional programming principles for robust code
NestJS Backend Patterns
- Dependency injection and modular architecture with feature modules
- Repository pattern implementation with TypeORM
- Custom decorators, guards, and interceptors for cross-cutting concerns
- Middleware chains with CORS, Helmet security, and rate limiting
React Frontend Architecture
- Component composition and custom hooks for state management
- Context API for global state and HOCs for reusability
- Compound component patterns and render props for complex UI
- React Query for server state and optimistic updates
Database & API Design
- Normalized PostgreSQL schemas with indexing and migrations
- RESTful APIs, GraphQL resolvers with DataLoader optimization
- Phoenix Channels and WebSocket gateways for real-time features
- Redis caching and session management
Message Queue Integration
- RabbitMQ work queues, pub/sub patterns, and dead letter queues
- Event-driven architecture for decoupled communication
- Saga pattern for distributed transaction management
- Elixir's built-in message passing for lightweight process communication
Microservices & DevOps
- Containerized services with Docker and health checks
- Circuit breaker patterns for fault tolerance
- Structured logging with correlation IDs and observability
View Tech Stack
backend:
frameworks: [phoenix, elixir, nestjs, aspnet, php]
languages: [elixir, typescript, javascript, c#, php]
frontend:
libraries: [react, nextjs, angular]
languages: [typescript]
styling: [tailwindcss]
databases:
primary: [postgresql, mysql, sqlite]
orm: [ecto, typeorm, prisma]
expertise: [query_optimization, schema_design, indexing, migrations, seeders]
apis:
protocols: [rest, graphql, grpc, websockets, phoenix_channels, trpc]
message_queues:
brokers: [rabbitmq, redis]
patterns: [pub_sub, work_queues, routing, rpc, actor_model]
devops:
containerization: [docker]
ci_cd: [github_actions, netlify]
infrastructure: [linux, cloud_deployments]
security:
middleware: [cors, helmet, rate_limiting]
authentication: [jwt, oauth, passport, guardian]
ai_stack:
frameworks: [langchain, rag, crewai, grow, openai]
databases: [vector_databases]
apis: [gemini_api]
skills: [prompt_engineering]
practices:
architecture: [microservices, clean_architecture, solid, event_driven, otp_principles]
patterns: [repository, factory, observer, cqrs, genserver, supervision_trees]
paradigms: [functional_programming, actor_model, fault_tolerance]
processes: [code_reviews, observability, logging]
version_control: [git, github]contact:
email: sylvestersila6@gmail.com
github: github.com/samh7
portfolio: sylvester-sila.netlify.appBuilding concurrent, fault-tolerant systems one GenServer at a time.