I'm passionate about building intelligent systems and data pipelines. Currently, I'm diving deep into:
🔹 Data Engineering — Building ETL pipelines with Apache Airflow
🔹 AI & Machine Learning — Working with LLMs, RAG systems, and computer vision (YOLO)
🔹 Web Development — Creating full-stack applications with Python, FastAPI, JavaScript, and modern frameworks
🔹 Digital Electronics — Studying digital circuits and hardware design with Verilog
I enjoy solving real-world problems through code and helping others learn along the way!
A production-grade Retrieval-Augmented Generation (RAG) system for Brazilian aviation regulations. Built with:
- Vector Search using Qdrant
- LLM Integration with Ollama (Llama, Qwen, Gemma)
- Embeddings with BGE-M3 multilingual model
- Web Interface with FastAPI + Jinja2
- Modular pipeline (Rewriter → Searcher → Evaluator → Generator)
Data engineering pipeline using Apache Airflow to orchestrate ETL processes for aviation data. Focused on:
- Automated data extraction and transformation
- Workflow orchestration
- Data quality validation
AI-powered vehicle detection and counting system using YOLO v8. Features:
- Real-time object detection
- Web dashboard for visualization
- Full-stack implementation (Python backend + JavaScript frontend)
🗂️ File Sorter
Python utility that automatically organizes files based on creation date. Simple but effective automation tool.
Computer vision application using YOLO v8 and OpenCV to classify different types of waste. Focused on environmental impact.
Hardware design studies using Verilog. Exploring digital logic, sequential circuits, and FPGA development.
💡 Always learning, always building!