AI Systems Engineer | Building production-ready LLM applications
Building Python systems, specialized in AI/ML infrastructure. Currently developing multi-agent systems for government transparency analysis as my Computer Science thesis project.
📍 Brazil • 🌍 Remote • 🗣️ PT/EN/ES
Backend: Python • FastAPI • PostgreSQL • Redis • Docker • Kubernetes
AI/ML: LangChain • RAG • ChromaDB • HuggingFace • Vector Search
Frontend: TypeScript • Next.js • React
Multi-agent system analyzing Brazilian government transparency data.
- 17 specialized AI agents processing government contracts and public spending
- <500ms p95 response with async FastAPI architecture
- 1M+ document embeddings with semantic search
- Production deployment on HuggingFace Spaces with Kubernetes
Links: Hub • Web App • API • Source
- Built async multi-agent orchestration reducing processing time by 70%
- Implemented RAG pipeline handling 50k+ documents daily
- Deployed production ML systems with 99.7% uptime
- Created comprehensive monitoring with Prometheus/Grafana
Opportunities in AI infrastructure, backend systems, and MLOps where I can build scalable solutions that solve real problems.
Building intelligent systems that bridge complex AI and practical solutions