Brayan Acevedo

Brayan Acevedo is a senior software engineer at Loggi since December 2019 and currently contributes to the Computational Intelligence Laboratory (LITC) at UFMG, where Brayan has been involved since July 2014, including a doctoral program in Electrical Engineering focused on position estimation fusion in UAVs using computational intelligence and machine learning. Brayan also holds a master's degree in Electrical Engineering from UFMG, exploring robustness strategies in geographic position estimation through aerial imagery, and an engineering degree in Electronic Engineering from Universidad Francisco de Paula Santander, where Brayan developed a MATLAB tool for PID controller tuning using genetic algorithms. Prior to their current positions, Brayan worked as a Computer Vision and Data Science Junior Engineer at ENACOM Group from October 2018 to October 2019, leading projects in Industry 4.0 and medical imaging using Python and machine learning techniques.