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Sudarshan Manavalan
Junior Software Engineer specializing in cloud microservices and full-stack development
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Robotics software engineer with hands-on ROS (ROS 1) experience building sensor-processing and state-based control pipelines in Python/C++. Demonstrated measurable reliability and performance gains in autonomous navigation—cut runtime failures by 30%, reduced replanning by 35%, and improved debugging efficiency by 40%—using timing-aware state machines, message/interface discipline, and simulation/testing with Gazebo, rosbag, Docker, and CI/CD.
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Key Strengths
- Improved autonomous robotics runtime reliability (30% fewer runtime failures)
- Extended continuous run duration (25% improvement) via pipeline robustness
- Reduced debugging time (40%) through logging and test coverage
- Deep ROS integration and debugging (message flow, timing, state transitions)
- Resolved timing inconsistencies from noisy/out-of-order sensor data using timestamps and state-machine guard conditions
- Motion planning optimization: reduced unnecessary replans by 35% and improved path stability
- Systems-level performance tuning (planner update rates, costmap and control loop frequencies)
- Designed reliable communication for heterogeneous/distributed robotic components (standardized messages, rate tuning, timestamp validation)
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