I'm a Data Science and Artificial Intelligence undergraduate at UFPB, interested in turning messy real-world data into useful products. My work sits where computer vision, data engineering, and applied AI meet - from sports analytics to education and real-estate intelligence.
now() → Researching robust ball tracking for Goalball at ARIA / UFPB
learning() → Computer Vision, ML systems, NLP and LLM applications
building() → Data pipelines and AI products with measurable impact
off_screen → Guitar, piano, and a good problem to solve
| Project | What I built |
|---|---|
| Goalball Ball Tracking · ARIA / UFPB | Researching TrackNet-based methods to make ball tracking more robust under occlusion and fast play. |
| Basketball Referee Assistance · TAIL / UFPB | Built a computer-vision system for player and ball tracking, play recognition, and a real-time court minimap using homography. |
| ImobiliarIA · TAIL / UFPB | Developed a full-stack real-estate analytics platform with Next.js, Docker, Python pipelines, and a LightGBM model that classified buy/rent opportunities with 83% accuracy. |
| TutorIA · TRIL / UFPB | Engineered the backend and OCR/data infrastructure for an educational WhatsApp chatbot using OpenAI, DeepSeek, MySQL, and Redis. |
| Studia · Alura Competition | Created an AI learning chatbot with Fastify, Google Gemini, Next.js, and Tailwind CSS for context-aware student support. |
"Make it useful, make it reliable, then make it interesting."