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Rathin Shah

Senior Robotics Systems Engineer specializing in autonomous mobility and optimal control

Pittsburgh, PASr. Robotics Systems Engineer6 years experienceSeniorRoboticsAerospace & DefenseAutomotive
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About

Robotics technical lead who architected and built a high-speed autonomous lunar rover mobility software system for GPS-denied environments, integrating MPC/LQR control, trajectory optimization, state and slip estimation, terrain-aware planning, and perception. Has deployed Deep RL policies trained in NVIDIA Isaac Sim onto real rover hardware via a ROS2 inference-node interface, with strong focus on real-time performance profiling, sim-to-real, and safety/HIL testing.

Experience

Sr. Robotics Systems EngineerProtoInnovations, LLC
Research InternProtoInnovations, LLC
Engineer, Technology Group (R&D Group)Automotive Research Association of India
Engineer, Technology Group (R&D Group)Automotive Research Association of India (ARAI)

Education

Carnegie Mellon University – School of Computer Sciencemaster, Robotic Systems Development (2023)
Vishwakarma Institute of Technology (VIT)bachelor, Mechanical Engineering (2018)

Key Strengths

  • Technical lead for high-speed lunar rover mobility software system (MSAFE)
  • Design and integration of full autonomy stack (control, planning, estimation, perception, actuator interfaces)
  • Expertise in real-time control under highly non-linear dynamics with controller-rate synchronization
  • Sim-to-real deployment of Deep RL policies using Isaac Sim and ROS2 inference node architecture
  • Performance-focused engineering: profiling, runtime budgeting, and data-rate-aware speed adjustments
  • Production-grade reliability practices: requirements-driven architecture, HIL/MIL testing, safety layers, fault diagnostics
  • ROS2 system architecture design including custom messages for high-speed onboard constraints

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Languages

English

Skills

Model Predictive Control (MPC)Linear Quadratic Regulator (LQR)Differential Dynamic Programming (DDP)Direct Trajectory OptimizationIndirect Trajectory OptimizationTrajectory OptimizationOptimal ControlReinforcement LearningMotion PlanningBehavioral ModelingState EstimationExtended Kalman Filter (EKF)GPS/IMU Sensor FusionLocalizationMapping