Mechanical Engineer and software developer. I combine hands-on field experience in industrial management with AI and full-stack development to create tools that actually get used on the shop floor.
I’m a Mechanical Engineer with a Master’s degree in Science, Technology and Innovation from UFRN, where I researched autonomous AI-driven maintenance systems. I worked as an industrial manager in manufacturing and agribusiness companies — and it was on the shop floor that I found the problems that later became software.
I joined Soluções Integradas, founded in 2024 by my partner Rodrigo Bessa and others, as a partner in 2025. Every product we built started as a real pain point that I or Rodrigo experienced ourselves: ManOS came from the struggle of managing maintenance without a proper system, SOFIN from the lack of accessible financial control for SMEs. We build tools we actually use.
Thesis: Machinery Guardian: Optimizing Maintenance with Artificial Intelligence and Autonomy
Field study: unsupervised autonomous maintenance system applied for eight months, integrated with the ERP, to a bag-making machine at a plastics manufacturer in Rio Grande do Norte. Breakdowns fell from 18 to about 3 per month, monthly spare-parts cost dropped by 50%, and the average inspection took 13 minutes against 248 minutes of downtime per breakdown.
Extracurricular: separate research project (2021–2023, coordinated by Prof. Efrain Pantaleón Matamoros) on unsupervised autonomous maintenance for wind turbine gearboxes using SOM neural networks, with field work carried out at ABS Wind do Brasil.
Final project: Unsupervised Autonomous Maintenance System Using Artificial Intelligence, applied to a chiller.
Extracurricular: member of the research project Detection and Classification of Cardiac Diseases in Humans with SOM Neural Networks (2020–2022), coordinated by Prof. Marco Antônio Leandro Cabral — multidisciplinary team of five undergraduates.
Peer-reviewed conference papers · full record on Lattes
