Electrical engineer specialized in embedded systems, computer vision, and artificial intelligence with over 4 years of experience. Recognized for creating innovative solutions to complex challenges.In my recent role, I served as the lead developer for the embedded sensor in a selective spraying system. I implemented computer vision directly on embedded systems, applying artificial intelligence on the Jetson Nano for real-time recognition in under 20ms. Developed a proprietary protocol over the CAN-BUS network, ensuring efficient communication without relying on internet connectivity, particularly beneficial in challenging connection conditions in Brazil.Previously, I actively participated in a groundbreaking project developing devices for real-time monitoring of aviaries. I led firmware and hardware development on various platforms, including ESP32, ARM, AVR, and Raspberry Pi. Noteworthy contributions include firmware development, real-time operating system (RTOS) implementation, LoRaWan wireless communication, PCB development, rigorous hardware and firmware testing, data analysis, mechanical integration of PCBs, and automated testing using embedded Linux.With a master's degree in biosciences, I have extensive research experience. During my undergraduate studies, I engaged in scientific research resulting in a patented turbidity meter using image analysis. In my master's, I focused on fraud detection in milk using digital images.My skill set spans embedded system development, programming in C, C++, Python, and creating graphical interfaces using Qt and QML. Practical experience includes field testing, sensor assembly, 3D modeling, and power consumption management in embedded systems installed in agricultural machinery.Excited to contribute to innovative and challenging projects, applying a comprehensive background in electrical engineering, embedded systems, and biosciences.