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FelipeAraujoBS/README.md

Felipe de Araújo

Backend Engineer · Distributed Systems · AI Engineering

LinkedIn Dev.to Email

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.

🔨 Featured Projects

Uma Busca de Gelo e Fogo — Full production system of 3 microservices over the A Song of Ice and Fire corpus. Backend: full-text search engine (SQLite FTS5) over 10 books / 2,400+ chapters, with an EPUB parsing pipeline (POV detection, alias normalization) and a Fastify REST API. RAG Service: hybrid retrieval (BAAI/bge-m3 dense + BM25 sparse + RRF), cross-encoder reranking, and LLM-as-judge evals over ~66k paragraphs. Frontend: Next.js. ~250 daily accesses in production. TypeScript · Python · Fastify · SQLite FTS5 · FastAPI · ChromaDB · Groq · Next.js

Weather Monitoring System — Full-stack distributed weather monitoring pipeline: Python collector → RabbitMQ → Go worker → NestJS API → React dashboard. Real-time data, AI-generated insights, and CSV/XLSX export. Python · Go · NestJS · RabbitMQ · React · MongoDB

Logflow — Centralized real-time log ingestion and monitoring platform. Ingests logs via HTTP and gRPC, processes them asynchronously with BullMQ/Redis, and persists to MongoDB, with an Angular dashboard for filtering and analysis. Node.js · TypeScript · Fastify · gRPC · BullMQ · Angular TypeScript · React

Programming Languages:

Typescript Python Go


Frameworks & Libraries:

Node NestJS Fastify FastAPI React NextJS


Messaging & Infrastructure:

RabbitMQ Redis gRPC Docker


Databases:

Postgresql MongoDB SQLite


Other:

Git Linux Bash Swagger Prisma


Stats:

Felipe's Top Languages GitHub Streak

Currently:

  • 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

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  1. A-Procura-de-Gelo-e-Fogo-Backend A-Procura-de-Gelo-e-Fogo-Backend Public

    Backend of the A Procura de Gelo e Fogo project. This backend consists of both the book parsing logic (built in Python), the REST API that serves the data, and the search logic (TypeScript and bett…

    Python

  2. A-Procura-de-Gelo-e-Fogo-Frontend A-Procura-de-Gelo-e-Fogo-Frontend Public

    Frontend of the "A Procura de Gelo e Fogo" project, built with TypeScript, Next.js, and SQLite.

    TypeScript

  3. Uma-RAG-de-Gelo-e-Fogo Uma-RAG-de-Gelo-e-Fogo Public

    Uma-RAG-de-Gelo-e-Fogo microservice for the A Procura de Gelo e Fogo ecosystem. Combines hybrid retrieval (dense + sparse + reranking) with LLM generation to answer natural language questions about…

    Python

  4. gemini-chromadb-RAG-pipeline gemini-chromadb-RAG-pipeline Public

    A minimal RAG pipeline built from scratch in Python — no LangChain, no abstractions. Embeddings, vector search and LLM generation made explicit.

    Python

  5. weather-monitoring-system weather-monitoring-system Public

    Monitoramento do clima FullStack - Python collector → RabbitMQ → Go worker → NestJS API → React dashboard. Dados em tempo real + insights de IA + Exportação de arquivos CSV/XLSX.

    TypeScript

  6. logs-platform-logflow logs-platform-logflow Public

    Plataforma centralizada de ingestão e monitoramento de logs em tempo real. Recebe logs via HTTP e gRPC, processa de forma assíncrona com BullMQ e persiste no MongoDB — com dashboard Angular para fi…

    TypeScript 1