BrenoAV

I have over 4 years of experience in the field of Artificial Intelligence, combining academic research with industry projects in areas such as computer vision, natural language processing, and time series forecasting.

• 2024–Present — Master’s Degree Student (UFCG)
  Research Focus: Retrieval-Augmented Generation (RAG) for QA systems applied to Brazilian Grid Network Procedures
• 2022–2024 — Researcher at Ford Motor Company
  Worked on projects involving computer vision (object detection), time series forecasting using statistical and machine learning models, and natural language processing (semantic search).
• 2021–2022 — Scientific Initiation Scholar (PIBIC/CNPq – UFCG)
  Conducted research on computer vision, specifically in object classification tasks.
• 2016–2022 — B.Sc. in Electrical Engineering (UFCG)
  Final Paper: Deep Learning for Industrial Surface Defect Classification

Outside of my professional and academic work, I enjoy running, watching TV shows and movies, listening to podcasts, and exploring astronomy content for fun.