Backend Engineer · Distributed Systems · AI Engineering
Backend Engineer specializing in distributed systems and AI Engineering. I build production-ready pipelines, from event-driven architectures to RAG systems with hybrid retrieval, reranking, and LLM-as-judge evaluation.
Currently finishing a degree in Systems Analysis and Development at Universidade Católica do Salvador (expected graduation: 2026), with a background in Geophysics that gave me an early foundation in applied mathematics.
APIs and systems with direct impact on 3,000+ users in production. Open to internship opportunities in AI/ML Engineering.
Uma Busca de Gelo e Fogo — RAG system over the full A Song of Ice and Fire corpus (~66k paragraphs). Hybrid retrieval with BAAI/bge-m3 dense embeddings + BM25 sparse, Reciprocal Rank Fusion, cross-encoder reranking, and LLM-as-judge evals. ~250 daily accesses.
Python · FastAPI · ChromaDB · Groq · Next.js
LA Canvas Playground — Interactive Linear Algebra visualizer built as a study tool: 2×2 systems, Column/Row Picture, and Gaussian elimination step-by-step.
TypeScript · React
- Studying advanced RAG techniques, agents, and LangGraph
- Rebuilding math foundations for ML: Linear Algebra (MIT 18.06), Statistics, Probability
- Writing about the process at dev.to/felipearaujobs
📧 felipearaujobs@hotmail.com
🌐 linkedin.com/in/felipe-de-araujo-b87386231