🎯 About Me
Passionate about robotic perception and SLAM, with 4+ years of experience deploying real-time localization systems on mobile robots. Actively contributing to open-source and academic research, I aim to advance robust perception for autonomous systems through hands-on development and cutting-edge innovation.
🎓 Education
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Master's Degree in Mechatronics and Robotics
ITMO University, Saint Petersburg
GPA: 3.9 / 4.0 (Top 10%)
Thesis: Robust Visual-Wheel SLAM System for Mobile Robots
2020 – 2022 -
Bachelor’s Degree in Mechatronics
Hanoi University of Industry
2016 – 2020
📘 MSc Thesis
Title: Robust Visual-Wheel SLAM System for Mobile Robots
Institution: ITMO University
Download Thesis (PDF)
📄 Publications
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RVWO: A Robust Visual-Wheel SLAM System
IEEE/RSJ IROS 2023, Detroit, MI, USA
Download PDF
💼 Professional Experience
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SLAM Engineer – NODE Robotics GmbH, Stuttgart, Germany
Feb 2025 – Present
- Developed and maintained SLAM components for real-time mobile robot localization.
- Developed modular odometry sensor fusion library for multiple sensor types: 2D Lidar, Wheel encoder, Camera.
- Developed the global localization/relocalization system for 2D Lidar only.
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Computer Vision Engineer – wheel.me AS, Oslo, Norway
Apr 2022 – Jan 2025
- Developed and maintained software components for visual mapping and localization in wheel.me mobile robot.
- CI/CD setup using Azure DevOps with code coverage and sanitizers.
- Full-stack communication pipeline across robotic platform.
- Awarded "Employee of the Month" for major system improvements.
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Research Intern – SberBank Robotics Group
Feb 2020 – Nov 2022
- Developed 3D reconstruction pipeline using monocular camera and IMU.
- Implementation and integrated Visual Inertial SLAM system for Sber Courier Mobile Robot.
- Worked on the core SLAM pipeline and real-time performance evaluation.
- Demo: View on YouTube
🛠️ Projects & Open Source
- ORB_SLAM3_FAST – Fast SLAM variant with 47+ stars on GitHub
- Fork of stella_vslam – A fork of stella_vslam using SuperPoint for feature extraction, SuperGlue for feature matching, and Hloc for image retrieval.
📚 Skills & Interests
- Languages: C++, Python
- Frameworks: ROS/ROS2, GTSAM, OpenCV, PCL
- Fields: Visual SLAM, Sensor Fusion, Robot Perception
- Tools: Git, CMake, Docker, CI/CD
- Soft Skills: Problem solving, collaboration, mentoring