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Pranav Rambhia
Junior Embedded Controls Engineer specializing in robotics and reinforcement learning
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Robotics/ML engineer with hands-on experience building multimodal waypoint prediction for autonomous driving using CLIP + LidarCLIP embeddings and PyTorch, including nuScenes data pipelines and baseline modeling. Also built ROS 2 nodes for TurtleBot maze navigation with an image-classification pipeline, and has Caterpillar experience doing dSPACE HIL testing with MATLAB/Simulink plant models for engine software validation.
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Key Strengths
- Built PyTorch training pipeline and baseline model for multimodal waypoint prediction (camera + LiDAR embeddings)
- Implemented nuScenes data loading and ground-truth waypoint extraction for supervised training
- Developed ROS 2 nodes for autonomous TurtleBot maze navigation (controls, input processing, image classification)
- Hands-on debugging of RL training issues (tensor shape/padding) using VS Code step-through debugging
- HIL testing experience at Caterpillar using dSPACE with MATLAB/Simulink plant models for engine software validation
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