Summary
Kleyton Cotta is a data consultant and machine learning specialist based in Rio de Janeiro with nine years of experience applying AI to energy, oil & gas, and industrial maintenance problems. He holds an MSc in Systems and Computing (machine learning) from UFRJ and combines research experience at Ipea with hands-on full‑stack development and product delivery at Radix, where he leads PD&I projects regulated by ANEEL and ANP. His work spans predictive maintenance, digital twins, optimization of power generation dispatch, and APM solutions—translating sensor data into operational decisions that reduce downtime and improve efficiency. Kleyton also taught MBA courses in Big Data and regularly delivers client workshops, reflecting a strong ability to communicate complex techniques to practitioners. Uncommonly, his background in graphic design and early environmental work gives him a practical, multidisciplinary perspective on UX and sustainability in technical projects.
9 years of coding experience
12 years of employment as a software developer
Técnico, Meio Ambiente, Técnico, Meio Ambiente at Instituto Federal de Educação, Ciência e Tecnologia do Sudeste de Minas Gerais
Bacharelado, Ciência da Computação, Bacharelado, Ciência da Computação at Universidade Federal Rural do Rio de Janeiro
Mestre em Engenharia de Sistemas e Computação, Machine Learning, Mestre em Engenharia de Sistemas e Computação, Machine Learning at Universidade Federal do Rio de Janeiro
Estácio de Sá University
inglês - ef level 7 intermediate cefr level b1