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Prithvi Jai Ramesh
Junior Robotics Engineer specializing in AI, perception, and autonomous navigation
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About
Robotics software engineer with 2+ years of ROS/ROS2 experience who built a mobile robot stack from scratch (Fusion 360 → URDF → ROS) and integrated teleop, SLAM, and navigation. Worked in an ASU lab applying deep learning for person tracking on a TurtleBot setup, and solved real deployment issues like Raspberry Pi video-stream latency via compression and on-board processing. Also reports experience with CI/CD tooling (Jenkins) and Kubernetes.
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Key Strengths
- Built ROS package for a mobile robot end-to-end (Fusion 360 design → URDF → ROS integration)
- Integrated teleoperation, SLAM, and navigation into a unified mobile-robot software stack
- Debugged and reduced robot-to-laptop video-stream latency (compression + on-board processing + minimal data storage)
- Optimized SLAM implementation by reducing state vector/memory usage and lowering prediction-step complexity
- Strong ROS system debugging using rqt_graph to diagnose node communication and latency issues
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1 publication
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