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Gabriel Penha de Lima gabaoun

Backend Software Engineer & Applied AI Specialist | Python, FastAPI, Async Systems | RAG Pipelines & AI Agents | C++ Foundation

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gabaoun /README.md

Hi, I'm Gabriel (Gabaoun) 🚀

Python FastAPI TypeScript Docker PostgreSQL Neo4j

Backend Software Engineer & Applied AI Specialist

Backend Engineer specializing in Python, high-performance systems, data pipelines, and AI orchestration. Strong foundation in C++ and systems programming, focused on non-blocking asynchronous execution, event-driven architectures, and production-grade REST APIs.


⚡ Featured Projects

Event-driven Retrieval-Augmented Generation (RAG) search engine built on Python and LlamaIndex Workflows.

  • Tech Stack: Python 3.11+, FastAPI, LlamaIndex, Chroma Cloud, Redis, Neo4j, Docker
  • Highlights: HyDE, GraphRAG, PEFT/LoRA reranking, sub-5ms Redis semantic cache, PII sanitization.

🤖 CabaModel

Gemini-native Agent Orchestration framework built on Google ADK & FastAPI using hexagonal architecture.

  • Tech Stack: Python, FastAPI, Google Agent Development Kit (ADK), Pydantic v2
  • Highlights: Clean ports & adapters architecture, schema validation, event stream handling, deployed live on Render.

Resilient multi-provider payment processing engine designed for high availability.

  • Tech Stack: TypeScript, AdonisJS 6, PostgreSQL, Docker, Redis
  • Highlights: Automated gateway failover, idempotent transactions, webhook handling, full test suite.

High-performance file-system organization & daemon engine for Windows.

  • Tech Stack: Python, ThreadPoolExecutor, Watchdog Sentinel, JSON Journaling
  • Highlights: Parallel execution, real-time directory watching, transactional LIFO undo, batch archive decompression.

Zero-overhead Neo4j health check endpoint for FastAPI, published on PyPI.

  • Tech Stack: Python, FastAPI, Neo4j, Kubernetes
  • Highlights: Async driver reuse (no per-request connection overhead), Kubernetes liveness/readiness probe support.

🛠️ Core Stack & Expertise

  • Languages: Python, C++, TypeScript, SQL
  • Backend & Frameworks: FastAPI, AdonisJS, Flask, RESTful Design, Event-Driven Architecture
  • AI & Data Engineering: RAG Pipelines, GraphRAG (Neo4j), Vector DBs (Chroma Cloud), Semantic Caching (Redis), Google ADK
  • Databases & Cache: PostgreSQL, Neo4j, Redis
  • DevOps & Quality: Docker, GitHub Actions CI/CD, Pytest, Structured Logging, SOLID Principles

🏆 Certifications

  • Neo4j Certified Professional (2026)
  • AWS Serverless - Knowledge Badge Readiness Path (2026)
  • EF SET English Certificate (C2 Proficient)

📫 Connect

LinkedIn GitHub

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  1. OsCabaOrganiza OsCabaOrganiza Public

    CLI tool for organizing files with batch processing, real-time monitoring, and undo/redo support.

    Python 1

  2. CabaModel CabaModel Public

    AI agent orchestration framework built on Google ADK, FastAPI, and Pydantic v2, with hexagonal architecture and async execution.

    Python 1

  3. multi-gateway-payment-api multi-gateway-payment-api Public

    Payment API with fallback (resilience study). Built with AdonisJS, Docker, and TDD.

    TypeScript 1

  4. Project-Aether Project-Aether Public

    RAG search engine using LlamaIndex, Redis, and PII masking.

    Python 2

  5. fastapi-neo4j-healthcheck fastapi-neo4j-healthcheck Public

    Zero-overhead Neo4j health check endpoint for FastAPI applications with Kubernetes liveness/readiness probe support.

    Python

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