Automatic pig recognition with Kinect
Kinect capture, ROS modularization, image labeling, and YOLO exploration for precision livestock monitoring.
Currently a researcher at UTC
Computer Engineering student from UTFPR, currently at UTC in France, working on autonomous navigation, human-machine interaction, conflict detection, trajectory evaluation, and intelligent control.
Working stance
I work across embedded systems, IoT, machine learning, Linux, Python, ROS, autonomous vehicles, and operational software. My current research at UTC combines intention modeling, nonlinear model predictive control, and ROS 2 implementation for conflict detection and decision-making in autonomous vehicles.
Experience
UTC research on intention modeling, conflict detection, trajectory evaluation, NMPC, and ROS 2 modules.
Kinect capture, ROS modularization, image labeling, and YOLO exploration for precision livestock monitoring.
Real-time ELK dashboards and supervised machine learning for odor classification in field conditions.
Teaching assistant for Programming Logic and Signals and Systems courses.
Health-tech startup for fall-risk prediction using wearable sensors, cloud infrastructure, and AI workflows.
Server infrastructure, workflow automation, CI/CD, monitoring, cloud, and cybersecurity practices.
Client software, project documentation, and e-commerce implementation.
Embedded software, hardware-software testing, debugging, and prototyping for intelligent devices.
Independent projects
Wearable-device startup combining sensors, behavioral data, and AI to shift elderly care from reactive to preventive.
02Repository for applying RMI, REST API, and MPI concepts, including a parallel Nash-equilibrium game-theory application.
03Custom PCB and ESP32-S3 firmware adapting NES, Sega Genesis, and GameCube controllers to modern USB HID devices.
04Verilog modules and testbenches simulated with Icarus Verilog and inspected through GTKWave.
Recognition
National hackathon organized by USP and Claro, awarded for an innovative solution in health technology.
02Recognition for the low-cost odor monitoring station presented at the Brazilian Symposium on Embedded Systems.
03Second place in the 2024 innovation challenge promoted by Petrobras.
04Second place in the 2023 innovation challenge promoted by Copel.
05Fourth place in the 2025 National Security Hackathon.
Publications
Embedded systems competition work on practical IoT implementation for environmental odor monitoring.
2023 In Search of a Software Platform to Manage IoT Applications in Smart CitiesEvaluation of software platforms for managing smart-city IoT applications.
2023 Installation and Configuration of a Software Platform to Manage IoT Applications in Smart CitiesPractical guide and study of software platform setup for IoT device management.
2023 Using Competition as a Method to Integrate the Community into ProgrammingAcademic work on programming competitions as a learning and community engagement method.