Hello, I'm
Arnon Chatri
AI Engineer | Robotics | Embedded Systems
อานนท์ ชาตรี | โบ๊ท
Passionate about AI, robotics, and embedded systems. Building ML pipelines, custom drones, and hardware-software solutions that solve real-world problems.
About Me
เกี่ยวกับฉัน
Hello, my name is Arnon Chatri, or you can call me Boat. I have experience working with machine learning pipelines, AI research, and embedded systems.
I worked as a research assistant on a university project and contributed to a published research paper at Kasetsart University. My team is called Team Sean, and I have been working with this team for about two years.
I also had the opportunity to work on a drone project for the Faculty of Civil Engineering, where AI was an important part of the system. I built and customized the drone prototype myself until it was fully functional. This experience helped me discover my real interests and career direction.
If you are looking for someone to work on control systems, system integration, ML pipelines, and hardware-related projects I am very passionate about this field and would love the opportunity to join your team.
AI & ML
ML pipelines and production-ready AI models
Hardware & Robotics
Drones, embedded systems, and HW-SW integration
Team Player
2+ years on research and engineering teams
Autonomous Aerial Vehicle Challenge AAVC 2026
Aug 2026Drone & Computer Vision Flyhigh Team
An autonomous drone system for payload delivery and precision landing, built for the Autonomous Aerial Vehicle Challenge 2026.
Project Evidence
Key Features
- ✓ArUco landing-pad detection with an onboard camera
- ✓MAVLink mission control for autonomous payload delivery
- ✓Precision landing using Pixhawk and Jetson Nano
- ✓Geofencing, Return-to-Launch, and failsafe configuration
- ✓Flight-log analysis for stability, power reliability, and safety
Project Brief
For the Flyhigh Team at Kasetsart University, I helped design and build an autonomous drone using Pixhawk, Jetson Nano, and onboard cameras. The vision system detects ArUco landing pads, while MAVLink coordinates autonomous payload delivery and precision landing. I represented Kasetsart University at AAVC 2026 from 28–30 August 2026.
Engineering Challenge
The aircraft had to combine visual targeting, mission control, payload delivery, and landing accuracy while remaining safe under changing power, communication, and flight conditions.
Technologies
Deployment Plan
- 1Validate mission logic in simulation before hardware flight tests
- 2Run controlled field tests for detection range, landing error, and payload release
- 3Review flight logs after every test and tune power, control, and failsafe parameters
- 4Promote only validated mission profiles to competition deployment
Outcome
The team completed an integrated autonomous-flight system and represented Kasetsart University at AAVC 2026, using staged testing and flight-log review to improve reliability and safety.
CV & Resume
AI Engineer | Software Engineer | Robotics | Embedded Systems
Summary
I have experience in AI research, robotics, embedded systems, and software development. I can build machine learning models, automated systems, and integrate APIs. I have experience in debugging, some system troubleshooting, and improving system performance. Comfortable working across software and hardware projects, solving real-world technical problems, and learning quickly under pressure.
Experience
Drone & Computer Vision Engineer
Flyhigh Team, Kasetsart University — Autonomous Aerial Vehicle Challenge (AAVC 2026)
Aug 2026
- Designed and built an autonomous drone using Pixhawk, Jetson Nano, and cameras
- Developed an AI system to detect ArUco landing pads and used MAVLink for autonomous payload delivery and precision landing
- Set up flight missions, geofencing, Return-to-Launch (RTL), and failsafe functions
- Tested the drone and analyzed flight logs to improve stability, power reliability, and flight safety
- Represented Kasetsart University at AAVC 2026 from 28–30 Aug 2026
Machine Learning Research Assistant
Kasetsart University
Nov 2024 – Aug 2026
- Developed and trained a YOLO-based object detection system to detect Colletotrichum disease in rubber trees
- Used a custom dataset prepared with plant pathologists at Kasetsart University
- Built a LINE Bot notification system to alert farmers in high-risk areas
- Collected disease severity and weather data for training a disease forecasting model
AI & Drone Engineer (Short-term Contract)
Freelance
2024
- Designed and built a custom quadcopter drone for pigeon deterrence and aerial survey
- Integrated AI computer vision system for real-time pigeon detection using onboard camera
- Developed autonomous flight control with Arduino-based embedded system
- Implemented aerial photography and survey capabilities for civil engineering inspections
Education
Computer Engineering
Kasetsart University
Technical Skills
Languages
AI / ML
Robotics
Web & Tools
Get In Touch
ติดต่อฉัน - Let's work together!
Send a Message
Fill out the form below to send me a message directly to boat.arnonchatri@gmail.com
Contact Information
Let's Collaborate!
I'm always interested in hearing about new projects and opportunities. Whether you're looking to collaborate on a project, need ML expertise, feel free to reach out!