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Pranav Rambhia

Junior Embedded Controls Engineer specializing in robotics and reinforcement learning

Atlanta, GAEmbedded Software/Controls Engineer2 years experienceJuniorManufacturingAutomotiveIndustrial Automation
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About

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.

Experience

Researcher (RL Based Joint Policy for Multi-Agent Path Finding)Georgia Institute of Technology
Embedded Software/Controls EngineerCaterpillar Inc.

Education

Georgia Institute of Technologymaster, Robotics
NC State Universitybachelor, Mechanical Engineering (2021)

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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Languages

English

Skills

PythonCC++MATLABSimulinkStateflowEmbedded ControlsEmbedded SoftwareControl Strategy DevelopmentDiesel Engine ControlsPlant ModelingHardware-in-the-Loop (HIL) TestingdSPACEModel ValidationRegression Testing