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Anirudh Raghavan
Entry-level Computer Vision/Autonomy Engineer specializing in perception and object detection
West Lafayette, INStudent Researcher0 years experienceEntry-LevelAutonomous VehiclesEducationInternet of Things
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About
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.
Experience
Student ResearcherPurdue University
Internet of Things, Externship (Remote)SmartInternz
Education
Purdue Universitymaster, Autonomy (2026)
Vellore Institute of Technologybachelor, Electronics and Communication Engineering (2024)
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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