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Chinmayee Wamorkar

Mid-level Robotics & Autonomy Engineer specializing in MPC, RL, and GPU-accelerated optimization

Research Affiliate4 years experienceMid-LevelRoboticsAutonomous VehiclesArtificial Intelligence
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About

Robotics software engineer from Ati Motors who brought a Linear MPC approach (based on Kuhne et al.) into production, rebuilding parts of the planning stack to eliminate oscillations and safely double AMR speed from 0.8 m/s to 1.6 m/s. Also delivered an end-to-end point-cloud detection pipeline (PointPillars) including synthetic data generation in Isaac Sim and TensorRT deployment for real-time human/trolley detection, with a strong focus on production reliability via iterative hardening and nightly SIL.

Experience

Research AffiliateGeorgia Institute of Technology
Autonomy EngineerAti Motors
Data Science InternVedantu
Undergraduate Research AssistantLawrence Berkeley National Laboratory

Education

University of California, Berkeleybachelor, Computer Science and Physics (2022)

Key Strengths

  • Built and productionized Linear MPC tracker from scratch for AMRs
  • Scaled AMR operating speed from 0.8 m/s to 1.6 m/s while improving smoothness/safety
  • End-to-end ownership: implement, verify, debug, stabilize, and maintain production robotics modules
  • Strong control-systems troubleshooting across software, tuning, and real hardware constraints (motor delay, tire changes)
  • Integrated point-cloud detection into vehicle stack from data acquisition through training to TensorRT inference
  • Used synthetic data generation and augmentation to expand training data and improve model robustness
  • Metrics-driven ML iteration (mAP/precision) and pragmatic deployment decisions (addressing false positives)
  • Reliability mindset for real-time systems (corner cases, iterative hardening, nightly SIL)

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Languages

English

Skills

Artificial IntelligenceAspect-Based Sentiment AnalysisAutonomous Mobile Robots (AMR)Background ClassificationBezier SplinesBounding Box LabelingC#C++CI/CDCNNCUDACasADiConvex OptimizationCosmic Ray ClassificationCusADi