Vetted Gazebo Professionals

“Robotics software/embedded engineer who helped build an end-to-end perception sensor platform in a two-person team, owning PCB design, ROS architecture (sensor/processing/diagnostic nodes), and documentation. Experienced integrating heterogeneous sensors over CAN with Arduino and optimizing real-time performance bottlenecks (camera and high-frequency streams) using compression, grayscale pipelines, and reduced inference frequency; also containerized the system with Docker.”

“Robotics software engineer with hands-on experience integrating vision-based perception with control logic in ROS simulation environments. Focused on debugging real-time timing/data-flow issues, improving system stability through incremental scenario testing in Gazebo, and supporting reliable deployments with Docker and basic CI/CD automation.”

“Perfil junior enfocado en robótica que participó en un macroproyecto de cuadrúpedo teleoperado ("Centauro") y un robot teleoperado sumergible, contribuyendo tanto en manufactura como en software con ROS 2 sobre Linux. Implementó nodos para interpretar comandos desde una interfaz y convertir coordenadas para mover el efector final, y trabajó en comunicaciones distribuidas con ESP32 + módulos CAN; además tiene experiencia en embebidos y simulación con Gazebo/SolidWorks.”

“Robotics software engineer who built a full autonomous navigation pipeline on TurtleBot3 in ROS2 from bring-up and SLAM through custom A* planning, obstacle avoidance, and frontier exploration—without relying on Nav2. Demonstrated strong debugging and performance optimization (QoS fix with AMCL; reduced exploration mapping time from ~12 to <7 minutes) and brings 2+ years of HPE cloud/edge deployment experience with Docker/Kubernetes/Helm and GitHub Actions.”