Executive snapshot
- Experience: Weniger als 1 Jahr
- Seniority: Berufserfahren
- Work mode: Ja, bevorzugt Remote
- Availability: Nach Absprache
- Region: International
- Focus: Robotics, Autonomous Systems, Embedded Systems, Sensor Technology
At a glance
Profile ID
DP-318370
Role
Robotics Software Development, Embedded Software Development, Sensor Integration, Autonomous Navigation
Seniority
Berufserfahren
Experience
Weniger als 1 Jahr
Work mode
Ja, bevorzugt Remote
Availability
Nach Absprache
Region
International
Engagement models
Festanstellung, Projektbasiert
Indicative rate
Nach Absprache
Short profile
Experienced Robotics Software Developer with practical expertise in ROS2 data pipelines, LiDAR simulation, sensor noise modeling, and SLAM/Nav2-based autonomous navigation. Recently led the ROS2 and data pipeline workstream within a team developing a production-ready LiDAR and depth perception simulator. Responsible for implementing sensor bridges, hardware-realistic noise models, and data bridges. Proficient across the entire perception stack, from sensor integration and point cloud processing to embedded deployment.
Focus (domains)
RoboticsAutonomous SystemsEmbedded SystemsSensor TechnologySoftwareEmbeddedLeadership
Core skills
ROS2LiDAR SimulationPoint Cloud Processing (PCLOpen3D)SLAMNav2Sensor FusionPath PlanningEmbedded DevelopmentCI/CDSensor Benchmarking & ValidationPythonSoftwareValidationEmbeddedHardwareLeadershipGitHubGitCSafeEmbedded SystemsConsulting / Stakeholder / Leadership
Tools & technologies
ROS2Gazebo ClassicPCLOpen3DNav2 StackMoveItRVizPythonC++NumPyLinuxGit/GitHubOpenCVRaspberry PiGitHubGitCSafeSoftwareValidationEmbeddedHardware
Track record & project highlights
Led the ROS2 data pipeline workstream for a 64-beam LiDAR simulator on Gazebo Classic, including the development of a ROS2-Gazebo sensor bridge for PointCloud2 data. Implemented a hardware-realistic sensor noise model (lidar_noise.py). Created a PCL-to-Open3D data bridge and a KITTI dataset exporter, validated according to Ouster OS1-64 LiDAR specifications. Responsible for the entire perception stack, from sensor integration to embedded deployment on Raspberry Pi.
