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Tejas Bhade

Mid-level Robotics Software Engineer specializing in autonomous systems and perception

DRONES LabSUNYUSA5 Years ExperienceMid LevelWorks On-Site

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About

Robotics software engineer with a Master’s in Robotics who built a digital twin of an excavator by creating a high-fidelity URDF (kinematics, joint limits, inertial properties) to stress-test controllers near saturation/limit conditions using ROS2 + MoveIt. Has hands-on ROS/ROS2 experience building perception (AprilTag/OpenCV) and sensor interface nodes (IMU/encoders/CAN), plus data-driven debugging and SLAM tuning for GPS-denied navigation using ROS bags and loop-closure validation.

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Key Strengths

  • Built accurate excavator URDF models (geometry, joint limits, mass/inertial properties) for control simulation
  • Validated control behavior using transient response metrics (overshoot, settling time, oscillations) and edge-case testing
  • Developed ROS2 perception nodes for AprilTag detection and pose estimation with TF publishing
  • Built sensor interface nodes for IMU, encoders, and CAN-based joint states
  • Robust ROS node engineering: standardized message interfaces, time synchronization, action-server validation, structured logging/diagnostics
  • Data-driven debugging with ROS bags to stabilize navigation in cluttered environments
  • Tuned SLAM for GPS-denied environments (scan matching, pose graph parameters, loop closure validation)
  • Strong simulation workflow across Gazebo/Isaac Sim with Docker for reproducible experiments

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Experience

Robotics ResearcherDRONES Lab · May 2025 – Present
Robotics Software EngineerTCS · Aug 2021 – Jul 2024

Education

SUNYmaster, Engineering Sciences – Robotics (2025)
University of Mumbaibachelor, Mechanical Engineering (2021)

Skills

Computer VisionDeep LearningReinforcement LearningOpenCVROS 2C++PythonTestingStructured loggingDockerGitRoboticsRobotics Software EngineeringAutonomous SystemsAutonomous Navigation

Languages

English

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Tejas BhadeMid-level Robotics Software Engineer specializing in autonomous systems and perception