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Ujwal Waghray
Mid-level Robotics & Software Engineer specializing in ROS 2 autonomy and ML
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Master’s-level IoT course project that the candidate helped evolve into a research lab effort by “ROSifying” a soil-fertility detection rover (autonomous navigation within a GPS geofence, sensor fusion, and rover-to-base-station telemetry via NRF24 to a Raspberry Pi dashboard). Also built a ROS/Gazebo vision-based teleoperation system using a SigLIP hand-gesture model mapped to geometry_msgs/Twist, and improved stability by instrumenting and filtering a latency-prone perception-to-control pipeline.
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Key Strengths
- End-to-end ROS2 autonomy development (nodes, navigation logic, sensor data flow)
- Simulation-driven robotics development using Gazebo + RViz (tf, topics, trajectories)
- Debugging and optimizing real-time perception-to-control loops via instrumentation and latency analysis
- Designing modular ROS2 architectures to resolve inter-node communication/timing issues
- Integrating computer vision gesture recognition into robot teleoperation (cmd_vel control)
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