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YERTAYEV ARMAN

Mid-level Robotics & Computer Vision Engineer specializing in SLAM and edge AI

Seoul, South KoreaSLAM(Robotics) EngineerMid-LevelRoboticsAutonomous VehiclesArtificial Intelligence
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About

Robotics/SLAM-focused engineer who worked on RT-Appearance mapping using NetVLAD, replacing traditional CV feature extraction with a deep learning approach to improve loop closure in repetitive green environments. Has hands-on ROS1/ROS2 experience (including bridging), point-cloud alignment with G-ICP for sensor-parameter matching, and Gazebo+Docker simulation testing for motion planning/perception.

Experience

SLAM(Robotics) EngineerCalmanTech
Computer vision EngineerE-Exibition
AI ResearcherIRL (CHUNGBUK NATIONAL UNIVERSITY)

Education

CHUNGBUK NATIONAL UNIVERSITYmaster, Intelligent Systems and Robotics (2025)
SATBAYEV UNIVERISITYbachelor, Sensors & Robotics (2018)

Key Strengths

  • Replaced traditional CV feature extraction with deep learning approach
  • Improved loop closure robustness in visually repetitive green environments via dataset collection and model training
  • ROS1/ROS2 integration experience including ROS1-ROS2 bridging
  • Point-cloud alignment using G-ICP to match differing sensor parameters
  • Simulation-based testing using Gazebo with Docker

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Contact

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Languages

EnglishKoreanRussianKazakhJapanese

Skills

PythonC++PyTorchTensorFlowKerasDeep LearningMachine LearningComputer VisionObject DetectionImage ClassificationImage SegmentationObject TrackingReal-time PerceptionLiDARCamera Sensors