Patiphon Narksri
Spatial Technology Team Leader
Nagoya, Japan
Summary
🤩
Rockstar🎓
Top SchoolPatiphon Narksri is a Spatial Technology Team Leader and AI/ML engineer with 9 years of experience building deep-learning-driven HD map generation, 3D perception, and autonomous systems. He leads engineering teams at MAP IV to deliver scalable ML pipelines, Kubernetes-based deployment, and automated data annotation for large-scale point cloud processing and change detection. His PhD work at Nagoya University focused on motion planning and LiDAR-based 3D perception, bridging academic research with production-grade MLOps and CI/CD practices. Comfortable across cloud infrastructure and low-level perception algorithms, he has contributed to Autoware-related tooling and real-world robotics competitions, revealing a practical bent for turning novel research into deployable systems. Fluent in Thai and English with business-level Japanese (JLPT N2), he is open to global opportunities at the intersection of AI, robotics, and mapping.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Automotive Engineering, Bachelor's degree, Mechanical Engineering, Automotive Engineering at Chulalongkorn UniversityDoctor of Philosophy - PhD, Robotics and Autonomous Driving, Second year (D2), Doctor of Philosophy - PhD, Robotics and Autonomous Driving, Second year (D2) at Nagoya University
Thai, English, Japanese
Github Skills (75)
ros10
autonomous-driving10
robotics10
autonomous-vehicles10
rapid-prototyping10
slam10
imu9
points9
localization9
rapid9
visualization9
documentation9
prototyping9
point-cloud9
photography8
Programming languages (8)
Github contributions (5)
n-patiphon/ground_filter
Jul 2017 - Jun 2019
This is a ROS implementation used for filtering ground points in Velodyne PoinCloud
Contributions:34 commits, 2 PRs, 29 pushes in 1 year 11 months
roboticsc-plus-plusrosvelodynefiltering
n-patiphon/cascaded_ground_seg
May 2018 - May 2018
Contributions:25 commits, 1 branch in 18 days
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