Summary
Leonardo Godói is an AI/ML research and development specialist with eight years of experience designing and deploying signal-processing-driven machine learning solutions for industrial assets. With a background in control and automation (B.Eng.) and mechatronics (MSc, PhD candidate), he blends real-time embedded systems know-how with cloud-native IoT stacks (MQTT, AWS, PostgreSQL) to move prognostics models from lab to production. At Techplus and FAPESP he led development of online monitoring platforms and novel unsupervised algorithms for remaining useful life estimation, applying time‑frequency DSP and TensorFlow/PyTorch pipelines. He is fluent in building MLOps and API layers (Docker, MLflow, FastAPI) that serve ML models reliably in industrial contexts. Based in São Paulo, he pairs academic research depth with hands-on engineering of sensors, firmware, and cloud services—an unusual mix that accelerates practical adoption of advanced diagnostics.
8 years of coding experience
3 years of employment as a software developer
Postgraduate Degree, Robotics, Postgraduate Degree, Robotics at Universidade Federal de Viçosa
Master of Science (MSc), Mechatronics Engineering, Master of Science (MSc), Mechatronics Engineering at University of Campinas
Doctor of Philosophy (PhD), Mechatronics Engineering, Doctor of Philosophy (PhD), Mechatronics Engineering at Universidade Estadual de Campinas
Bachelor of Engineering (BE), Control and Automation Engineering, Bachelor of Engineering (BE), Control and Automation Engineering at Centro Universitário de Jaguariúna - UniFAJ
Portuguese, Dutch, English