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Kaushik Deo
Intern Robotics Software Engineer specializing in SLAM and edge deployment
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Robotics software engineer who built a full LiDAR SLAM pipeline from scratch in C++ (ICP, pose graph optimization, loop closures) and validated it quantitatively against ground-truth datasets. Extensive ROS2 experience from academics and an internship building a localization system, plus practical deployment work using Docker across x64 and ARM edge devices; also trained RL policies for TurtleBots in Gazebo.
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Key Strengths
- Built LiDAR SLAM algorithm from scratch in C++ (ICP, pose graph optimization, loop closures)
- Strong debugging workflow using trajectory visualization and transformation/log inspection to resolve optimization issues
- Quantitative validation against dataset ground truth using trajectory and distance error metrics
- Hands-on ROS2 integration for localization/SLAM pipelines (publish/subscribe, rosbags, visualization topics)
- Cross-architecture deployment experience using Docker for x64 development and ARM edge targets
- Simulation and RL training experience in Gazebo with TurtleBots
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