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Anirudh Raghavan
Entry-level Computer Vision/Autonomy Engineer specializing in perception and object detection
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Robotics software engineer with hands-on ROS2 + Autoware perception experience, focused on building benchmarking infrastructure for object detection models inside a real-time autonomous driving stack. Strong in evaluation rigor (synchronization, deterministic playback, format standardization) and practical ROS2 debugging/validation workflows using RViz and Gazebo.
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Key Strengths
- Built ROS2/Autoware infrastructure to benchmark object detection models in a real-time autonomous driving stack
- Designed fair, synchronized evaluation by standardizing pipelines and enforcing deterministic playback
- Resolved real-time navigation issues via costmap tuning and coordinate frame/map alignment debugging in ROS2/Gazebo
- Integrated YOLO detectors as ROS2 nodes with sensor publishing, synchronization, and RViz validation
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1 publication
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