Breno Braga

I am an undergraduate student in Computer Engineering at PUC-Rio with expertise in machine learning, artificial intelligence, and data analysis. I am proficient in Python, PyTorch, OpenCV, IoT, APIs, and Large Language Models (LLMs). I have applied these skills in research and projects involving automation, data extraction, and software quality improvement. At StoneLab, I worked on developing deep learning models for predicting feature costs in payment devices, tailoring them to clients’ specific needs. At the OPUS/LES Lab, my research used eye-tracking to evaluate code quality and improve readability and efficiency. Currently, as a CNPq Researcher, I focus on leveraging LLMs to enhance software variability management by automating the analysis of commits and code changes to identify patterns and support decision-making. I have also authored a research article on the use of open-source LLMs, which was accepted for presentation at CTIC 2024 (CBSoft). Additionally, I have completed courses in Python, Java, machine learning, and deep learning, and developed projects such as a price monitoring bot, a fatigue detector, and assistive systems for visually impaired and elderly individuals.