Most AI agents can answer questions. I build AI systems that take action —
they call APIs, process payments, route emails, and run reliably in production.
⭐ Top Rated on Upwork · 100% Job Success · 240+ billed hours
- AI agents built with LangGraph and LangChain — custom tools, memory management, production-ready orchestration
- LLM integrations (OpenAI, Claude / MCP) connected to real business operations, not isolated chatbots
- AI email triage: classification, confidence scoring, automated routing, human fallback
- n8n workflows bridging LLMs, webhooks, and backend services
- APIs with Django, Django REST Framework, and FastAPI built for long-term maintenance
- Relational database modeling (PostgreSQL, MySQL) and explicit data validation with Pydantic
- Authentication, permissions, and role-based access control (RBAC)
- Payment integrations: Mercado Pago, Stripe — webhook routing and subscription management
- Automation services using bots as backend workers (Discord, Telegram, WhatsApp Business, Slack)
- Ticketing and approval systems with permission control and audit logs
- Web scraping and data extraction pipelines built for reliability
- Dockerized environments for development and production
- CI/CD pipelines with GitHub Actions, Linux-based deployments
- Focus on predictable, low-maintenance infrastructure
These projects deal with real-world constraints:
- payment processing and webhook reliability
- permission models, access control, and auditability
- explicit data validation and maintainable architecture
- production-like organization and deployment
Client work highlights (private repos — details on request):
- 🤖 AI-powered payment automation platform — Django + n8n + Mercado Pago, intelligent webhook routing and subscription management
- 🧠 Multi-agent system — LangGraph + LangChain with custom tools and memory
- 📧 AI email triage — OpenAI classification, confidence scoring, automated routing, human fallback
- 🔌 Claude Skills connected to live backend services through n8n webhooks
25+ certificates in Docker, CI/CD (GitHub Actions), Django, Go, n8n + AI automation, Pentest, Network Security, and Threat Modeling.
➡️ See all certificates — Alura (PT/EN) + PycodeBR courses (Django Master, Logic Master, FastAPI)
Currently studying: Cybersecurity degree (Gran Centro Universitário) + Applied AI Engineering extension program (UniPDS).
Security is a supporting engineering skill in everything I build:
RBAC, input validation, threat modeling, and safer backend design.
I help clients who need systems that actually run in production. That means:
- clear architecture and realistic estimates
- predictable, containerized deployments
- code another engineer can understand and maintain
I'm comfortable joining existing projects, improving legacy code, or building new systems with growth in mind.
