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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
class Thanawat_Sukamporn:
"""
╔══════════════════════════════════════════════════════════╗
║ COMPUTER ENGINEERING STUDENT @ KU ║
║ Kasetsart University, Bangkok ║
╚══════════════════════════════════════════════════════════╝
"""
def __init__(self):
self.name = "Thanawat Sukamporn (ธนวัฒน์ สุขอัมพร)"
self.nickname = "Fronk"
self.university = "Kasetsart University"
self.faculty = "Computer Engineering"
# Important
self.SuperAIEngineerSS5_Status = "Super Ai Engineer SS5 : Track Innovator @Kasetsart University"
self.SuperAIEngineerSS6_Status = "Super Ai Engineer SS6 : The Scamper House"
self.location = "Pathum Thani, Thailand 🇹🇭"
self.languages = ["th_TH 🇹🇭", "en_US 🇬🇧"]
self.focus_areas = [
"🤖 AI / Machine Learning / Image Processing",
"🦾 Robotics & IoT & Mechatronics Automation",
"🔒 Cybersecurity & CTF",
]
self.currently_building = "AI-powered apps & embedded systems"
self.fun_fact = "Won gold at national level with an AI X-Ray lung cancer detector 🫁"
def say_hi(self):
print("Thanks for stopping by — hope something here inspires you! 🙌")
me = Thanawat_Sukamporn()
me.say_hi()| 🥇 Gold | 🥈 Silver | 🥉 Bronze |
|---|---|---|
| i-NEW GEN Award 2025 (National) | FABLAB Walking Robot Challenge | Innovedex Robotics Competition 2024 |
| Arduino IoT "Innovate for Water Security" | Arduino Explore IoT Hackathon 2024 | |
| VoltX Challenge 2025 | ||
AI / ML:
Libraries: [Keras, PyTorch, NumPy, OpenCV, matplotlib, pandas]
Tasks: [Image Classification, Object Detection (YOLO), NLP, Fine-tuning]
Platforms: [AWS Bedrock, AWS SageMaker, Kaggle]
Robotics & IoT:
Frameworks: [ROS, ROS2, Gazebo, Node-RED]
Hardware: [Arduino, Raspberry Pi, NVIDIA Jetson, CIRA Robotics]
Protocols: [BLE, MQTT, IR Sensor, Ultrasonic Sensor, Servo Control]
Cloud (AWS):
Compute: [Lambda, ECS Fargate]
Data: [DynamoDB, S3, SQS, SNS]
Security: [IAM, VPC]
DevOps: [CloudWatch, X-Ray, API Gateway]
Programming:
Languages: [Python, C++, C#, Java, SQL, ASM, Go, Rust]
Web / API: [Django, .NET Framework, Flask]
OS: [Ubuntu, Windows Server]Image Classification service using MobileNetV3-Large + Flask API, deployed on LINE Messaging API Bot.
AI program for lung cancer screening using publicly available datasets (IQ-OTH/NCCD). Submitted to NRCT — 1,549 competing teams.
Real-time water safety system using Arduino Uno R4 WiFi, IR sensors, Ultrasonic sensors, and BLE via Arduino Nano 33.
18-DOF hexapod robot controlled by Raspberry Pi Pico W + PCA9685, driving 18 MG90S micro servos.
Automated waste sorter using Linear Motor + Inductive Sensor + Arduino MKR WiFi 1010, with live Arduino Cloud dashboard.
📞 062-730-2299 | 📍 Pathum Thani, Thailand
⚡ Built with passion for AI, Robotics & Cloud • Kasetsart University 🌾