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Tejaswini Dilip Deore
Junior Robotics Engineer specializing in computer vision and SLAM
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Robotics software engineer focused on ROS2 autonomy, with hands-on work building a monocular visual odometry system on KITTI (including GPS-based scale correction and RViz trajectory visualization) and an end-to-end Gazebo simulation integrating URDF, slam_toolbox, and Nav2. Demonstrates strong practical debugging skills around TF frames, lifecycle nodes, and Gazebo plugin/version compatibility.
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Key Strengths
- Built monocular visual odometry pipeline in ROS2 (feature tracking + Essential matrix pose estimation)
- Integrated GPS-based scale correction for long-distance trajectory consistency
- End-to-end ROS2 navigation simulation setup (URDF + Gazebo + slam_toolbox + Nav2)
- Systematic debugging of ROS2/Gazebo issues using topic inspection, TF tree analysis, and lifecycle/frame validation
- Strong working knowledge of core ROS2 tooling and message ecosystem (TF, sensor_msgs, nav_msgs, cv_bridge)
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