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rhenter/README.md

Rafael Henter Gomes

Senior Python & Django Architect | Distributed Systems Engineer | Cloud-Native Backend Specialist

Designing and leading scalable backend platforms with 20+ years of experience in production environments.

🚀 About Me

I am a Senior Backend Engineer specialized in Django-based architectures and distributed systems.

For over two decades, I have designed, built, and led high-availability platforms with strong emphasis on scalability, reliability, and infrastructure automation.

My core strength is backend architecture — especially Django systems operating at scale.

🏗 Django & Backend Architecture

Django is my primary expertise and architectural foundation.

  • Advanced Django applications
  • Django REST Framework
  • Complex domain modeling
  • Multi-service architecture
  • High-throughput APIs (10k+ req/min systems)
  • Celery distributed task orchestration
  • Queue-based processing (Redis, SQS, AMQ)
  • Performance optimization
  • Middleware design considerations
  • Scalable authentication & enterprise integrations

I focus on clean architecture, maintainable systems, and long-term scalability.

⚙️ Distributed Systems & Infrastructure

  • Microservices architecture
  • Kubernetes (EKS)
  • Docker-based deployments
  • Autoscaling strategies
  • Infrastructure as Code
  • CI/CD pipelines (GitLab)
  • Observability & monitoring strategies
  • Cost allocation & infrastructure optimization

I design systems that are resilient, fault-tolerant, and production-ready.

☁️ Cloud & Data Engineering

  • AWS (EKS, S3, RDS, SNS, SQS, AMQ)
  • Data pipelines
  • Pandas-based data processing
  • Real-time ingestion systems
  • Queue-driven workflows
  • Distributed processing strategies

📊 Architecture Principles

When building systems, I prioritize:

  • Scalability
  • Observability
  • Cost efficiency
  • Reliability engineering
  • Domain clarity
  • Infrastructure automation
  • Production-grade robustness

🤖 AI & LLM (Currently Expanding Expertise)

I am actively evolving in AI-driven backend systems, focusing on:

  • LLM integrations in production
  • RAG architectures
  • LangChain-based orchestration
  • AI-powered internal tools
  • Data Science Ops (DSOps / LLMOps fundamentals)
  • AWS SageMaker experimentation

While AI is a growing focus, my foundation remains strong backend and distributed systems engineering.

🎯 Current Focus

  • Advanced backend architecture
  • Scalable Django systems
  • Distributed processing at scale
  • AI integration into production platforms

📫 Connect

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