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Robotics & ROS Engineer — Autonomous Robot Software
Service description
I am a robotics engineer who develops the software brain of autonomous machines. My daily work lives inside ROS and ROS 2, where I design node graphs, write publishers and subscribers, tune parameters and stitch together perception, planning and control into one coherent robot. Whether you are building a mobile platform, a robotic arm, a warehouse AMR or a research prototype, I turn sensor streams and mechanical hardware into a machine that senses its surroundings, decides what to do and moves through the world safely. I write clean, testable C++ for the performance-critical loops and Python for orchestration, tooling and rapid experiments, so your stack stays both fast and easy to maintain.
My core strength is the full autonomy pipeline. I implement SLAM and localization so a robot always knows where it is, fuse data from LiDAR, cameras, IMU and wheel odometry with Kalman and particle filters, and build motion planning and navigation that avoids obstacles while respecting the robot's real kinematics. On the control side I set up PID and model-based controllers, trajectory following and manipulator kinematics so movement is smooth and accurate rather than jerky. I am equally comfortable in simulation with Gazebo and RViz, which lets me validate behaviour before a single motor turns and shortens the road to a working robot.
Beyond the algorithms I care about a project that survives contact with reality. I integrate real hardware over serial, CAN and standard robot drivers, structure code into reusable packages, add launch files, diagnostics and logging, and document the system so your team can extend it later. Tell me your platform, your sensors and the task you want automated, and I will design an architecture, prototype it in simulation and deliver software running on the actual robot.
— ROS and ROS 2 architecture, nodes, topics, services and actions
— SLAM, localization and sensor fusion (LiDAR, camera, IMU, odometry)
— Motion planning, navigation and obstacle avoidance
— Robot control: PID, trajectory tracking, manipulator kinematics
— C++ and Python development for real-time and orchestration layers
— Simulation in Gazebo and RViz, plus real hardware integration
My core strength is the full autonomy pipeline. I implement SLAM and localization so a robot always knows where it is, fuse data from LiDAR, cameras, IMU and wheel odometry with Kalman and particle filters, and build motion planning and navigation that avoids obstacles while respecting the robot's real kinematics. On the control side I set up PID and model-based controllers, trajectory following and manipulator kinematics so movement is smooth and accurate rather than jerky. I am equally comfortable in simulation with Gazebo and RViz, which lets me validate behaviour before a single motor turns and shortens the road to a working robot.
Beyond the algorithms I care about a project that survives contact with reality. I integrate real hardware over serial, CAN and standard robot drivers, structure code into reusable packages, add launch files, diagnostics and logging, and document the system so your team can extend it later. Tell me your platform, your sensors and the task you want automated, and I will design an architecture, prototype it in simulation and deliver software running on the actual robot.
— ROS and ROS 2 architecture, nodes, topics, services and actions
— SLAM, localization and sensor fusion (LiDAR, camera, IMU, odometry)
— Motion planning, navigation and obstacle avoidance
— Robot control: PID, trajectory tracking, manipulator kinematics
— C++ and Python development for real-time and orchestration layers
— Simulation in Gazebo and RViz, plus real hardware integration
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