Intern Robotics & Computer Vision Engineer specializing in surgical robotics
Columbia, MarylandRobotics and Computer Vision Engineer Intern2 years experienceInternRoboticsMedical DevicesHealthcare
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About
Robotics software engineer who built and owned an autonomous laparoscope tracking system on a UR3e with an eye-in-hand RealSense camera, integrating YOLO-based tool detection with velocity control under a strict RCM constraint and deploying successfully in a hospital setting. Deep ROS2/MoveIt2 experience (architecture, QoS, custom nodes) plus autonomy stack work across SLAM, planning, and real-time latency/control debugging.
Experience
Robotics and Computer Vision Engineer InternOptosurgical LLC
Engineering Medical Devices Research AssistantUniversity of Michigan College of Engineering
Robotics Research AssistantHong Kong University of Science and Technology
Education
University of Pennsylvaniamaster, Robotics (2026)
University of Michiganbachelor, Mechanical Engineering (2024)
Key Strengths
End-to-end ownership of autonomous robotic system (perception + control + ROS2 architecture)
Delivered autonomous laparoscope tracking system deployed in hospital rounds
Strong ROS2 system design (nodes/topics/QoS/launch files) and custom package development
Real-time control debugging and stabilization (resolved RCM drift via closed-loop PID)
Latency reduction through control-loop optimization and ROS2 QoS configuration
Robotics perception-to-control integration using YOLO + depth sensing with camera-robot calibration
Broad autonomy stack experience: SLAM (EKF with stereo vision), motion planning (A*, RRT/RRT*), trajectory generation (minimum-jerk)
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