Patiphon Narksri

Spatial Technology Team Leader

Nagoya, Japan
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Summary

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Patiphon 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.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree, Mechanical Engineering, Automotive Engineering, Bachelor's degree, Mechanical Engineering, Automotive Engineering at Chulalongkorn University
bookDoctor of Philosophy - PhD, Robotics and Autonomous Driving, Second year (D2), Doctor of Philosophy - PhD, Robotics and Autonomous Driving, Second year (D2) at Nagoya University
languagesThai, English, Japanese
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Github Skills (51)

autonomous-vehicles10
localization10
calibration10
point-cloud10
slam10
ros10
autonomous-driving10
visualization9
opengl9
self-driving-car9
rapid-prototyping9
documentation9
lidar9
cpp8
3d8

Programming languages (8)

DockerfileC++JavaScriptFluentGoAGS ScriptCythonPython

Github contributions (5)

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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
ros
n-patiphon/iridescence

Feb 2023 - Jul 2024

3D visualization library for rapid prototyping of 3D algorithms
Contributions:9 pushes, 6 branches in 1 year 5 months
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