AI Engineer & Researcher

Witsanupong Kolakul

Computer Engineering student specializing in Artificial Intelligence, Computer Vision, DevOps, and Space Technology. Building intelligent systems that bridge cutting-edge research with practical applications in both terrestrial and space domains.

View Research Projects & Awards Get in Touch
01

About Me

My journey in Computer Engineering began in high school with C and C++ in a Science-Mathematics Program, sparking a passion for algorithmic thinking that continues to drive my work today.

I'm particularly drawn to Artificial Intelligence, Computer Vision, DevOps, and Space Technology. I aim to develop comprehensive expertise spanning from AI research and computer vision systems to robust DevOps infrastructure and space technology applications.

After completing my degree, I plan to pursue graduate studies in AI and Space Technology, with the long-term goal of contributing to innovative solutions at the intersection of artificial intelligence and space exploration.

Full Name
Witsanupong Kolakul
Nickname
Tetae
Contact
teverygood@gmail.com
github.com/itertius
8+
National Awards
10+
GitHub Projects
2
Research Papers
02

Education

2026 - Present

Chulalongkorn University

B.Eng. Computer Engineering and Digital Technology (CEDT)
Year 1, Class of 2030
Focus: AI, Computer Vision, DevOps, Space Technology
Chulalongkorn University Logo
High School

Saraburi Wittayakhom School

High School (Science-Mathematics Program)
GPA: 3.59
Advanced C++, data structures, competitive programming
Saraburi Wittayakhom School Logo
03

Projects

2 stars

AI for Thai - Exercise Form Analysis

MediaPipe · Pathumma LLM · VAJA TTS

Intelligent exercise form analysis system for Thai athletes. Integrates MediaPipe pose detection, Pathumma LLM, and VAJA Thai text-to-speech for real-time AI coaching feedback with 95% accuracy.

View on GitHub ->
2 stars

CartPole DQN from Scratch

PyTorch · Reinforcement Learning

Production-ready Deep Q-Learning implementation built entirely from scratch with PyTorch. Features experience replay, target networks, real-time training visualization, and comprehensive testing framework achieving 85% success rate.

View on GitHub ->
Outstanding AI

AI Builders 5 - Tomato Disease Classification

Mahidol University · Central Retail Digital

Developed Edge Contour Detection for plant separation addressing data imbalance and real-world noise. Received Outstanding AI Award for innovative approach to computer vision challenges.

View on GitHub ->
1 star

Subscription Hub - Payment Tracker

React · Node.js · GitHub Actions

Modern web application for comprehensive subscription payment management with real-time tracking, statistics dashboard, multi-currency support, and automated Docker deployment with CI/CD pipeline.

View on GitHub ->
1 star

AI Thai Learning Companions

NLP · LLM · Text-to-Speech

AI-powered Thai language learning application generating interactive exercises including vocabulary questions and sentiment analysis using state-of-the-art NLP and text-to-speech technology.

View on GitHub ->
1 star

BostonHousing - Smart Regression

Scikit-learn · Pandas · Jupyter

Advanced regression system for Boston housing prices with accurate predictions, comprehensive data processing, and insightful visualizations for real-world housing market analytics.

View on GitHub ->
View More Projects on GitHub
04

Competitions & Awards

Best Deployment in Thailand

Thailand CANSAT - ROCKET Competition 2025

NSM · Defence Technology Institute · 104 teams

Project Manager & Software Engineer. Developed comprehensive Ground Station, Flight Software, and Deployment Software. Won Deployment Award as the only team in Thailand with end-to-end system design.

View on GitHub ->
Consolation Award

Thailand CANSAT - ROCKET Competition 2024

NSM · Defence Technology Institute · 100 teams

Software Engineer & Systems Integration. Developed advanced flight control systems and communication protocols. Advanced to national finals as one of top teams in Thailand with innovative engineering solutions.

Silver Medal

Thailand AI Engineering Championship 2025

CMKL University · AST · 800+ participants

Advanced algorithms: KNN, K-Means Clustering, DAG Scheduling. Achieved 90/300 score through intensive 2-month preparation. Awarded Silver Medal by CMKL University.

1st Runner-Up

OIC InsureTech Award 2025

Center of InsureTech Thailand · 400+ teams

"InsureMate" - AI application for insurance literacy integrating ML and NLP/LLM features. Won 70,000 THB prize for innovative approach to insurance technology.

View on GitHub ->
1st Runner-Up

DeafTech Hackathon 2024

UNICEF Thailand

"ThaiSign Application" - innovative Thai sign language learning platform using MediaPipe + MobileNetV2. Designed with UX/UI accessibility focus for hearing-impaired users with comprehensive gesture recognition.

View on GitHub ->
Semi-Finalist

Thailand Metaverse Hackathon #1

Faculty of Engineering, Chulalongkorn University

Project Manager & Full-Stack Developer. Built VR app for OCD Exposure Therapy using Unity, React Native, and Node.js. Advanced to top 20 teams.

Semi-Finalist

Thailand Metaverse Hackathon #2

Faculty of Engineering, Chulalongkorn University

Project Manager. Developed immersive VR insurance learning simulation for training insurance professionals. Created realistic scenarios for risk assessment and policy understanding with advanced game mechanics.

Rank 23/130

SPU AI PROMPT Mini Hackathon 2025

SPU SIT · NECTEC · AiAT

Comprehensive EDA, data cleaning, and AutoGluon model training for prompt quest challenge. Achieved top quartile performance in competitive AI field with advanced optimization techniques.

1st Runner Up

Kasetsart Water Rocket Championship 2024

Kasetsart University · 50+ teams

Water rocket design and flight optimization competition. Achieved 1st Runner Up through innovative aerodynamic design and precise trajectory calculations with advanced computational fluid dynamics analysis.

05

Research & Publications

Workshop Paper · CVPR 2026

Perceptual Loss-Based Approaches to Personal Color Season Classification

CVPR 2026 · Non-archival Track (4 pages)

Extended workshop submission presenting practical applications and implementation details of UColor system for seasonal color analysis with perceptual awareness in computer vision tasks, achieving 13.4% accuracy improvement over baseline methods.

View Workshop Paper ->
Computer Vision Color Science Workshop Non-archival Implementation
Conference Paper · CVPR 2026

Advanced Seasonal Color Analysis for Perceptually-Aware Image Classification

CVPR 2026 · Full Paper

UColor addresses a fundamental gap in Computer Vision: current models perceive color in RGB without understanding human color perception. The project proposes a two-stage architecture using FaRL backbone with a hybrid perceptual loss (Cross-Entropy + CIEDE2000) to classify Seasonal Colors in a perceptually-aware manner, reducing cross-undertone errors by 4.2%.

View Full Paper ->
Computer Vision Color Science FaRL CIEDE2000 CIELAB PyTorch Perceptual Loss
Internship · Dec 2025 - Apr 2026

AI Research Assistant

Uphasia Artificial Intelligence Co., Ltd.

Researched and developed Computer Vision and Color Analysis models. Applied Color Science principles: CIELAB color space and CIEDE2000 metric. Developed Deep Learning models for Seasonal Color classification and designed perceptual-aware loss functions.

Deep Learning Color Analysis CIELAB Loss Function Design Research Documentation
06

Skills & Technologies

Machine Learning

PyTorch
TensorFlow
Scikit-learn
AutoGluon
Optuna (HPO)
XGBoost

Computer Vision

FaRL · CLIP
OpenCV
Mediapipe
EasyOCR
Tesseract
Pillow · ImageIO

Languages & Frameworks

Python
C / C++
React · Vue.js
Node.js
NumPy · Pandas
Matplotlib · Plotly

Tools & Platforms

Google Colab
Kaggle
Git · GitHub
Figma · Arduino
Unity · Android Studio
LaTeX

NLP & LLMs

Thai NLP · BM25 · TF-IDF
RAG Pipelines
Typhoon · OpenThaiGPT
Pathumma · VAJA TTS

Soft Skills

Communication
Leadership
Networking
Problem Solving · Time Management
07

Volunteer & Leadership

President of Yellow House (President)
Saraburi Wittayakhom School · Academic Year 2567
Managed 1 of 4 houses with 1000+ members. Led house to victory as best house during SBW games week, demonstrating leadership and organizational skills.
Teaching Assistant · Computer Olympiad (TA)
Computer Olympiad Training Camp
Teaching assistant for Computer Olympiad Camp - mentoring students in algorithms, data structures, and competitive programming using C++ with advanced teaching methodologies.
Reserve Officer Training Corps (ROTC)
Military Service Volunteer Activities
Participated in national reserve officer training activities, contributing to community service and civic engagement programs with demonstrated commitment to national service.
Team Mentor & Advisor · Sky's Line & Sky's Rift 2
Thailand CANSAT-ROCKET Competition 2026 Finalists
Volunteer mentor, advisor, and project manager for two finalist teams in Thailand CANSAT-ROCKET Competition 2026. Provided technical guidance, project Management expertise, and strategic support throughout the competition with exceptional leadership and mentoring capabilities.
Guest Speaker · OIC International Insurance Symposium 2025
OIC International Insurance Symposium 2025
Invited speaker at international insurance symposium, sharing insights on AI applications in insurance technology and innovation.
Teaching Assistant · Water Rocket (TA)
Science Activity Volunteer
Teaching assistant for water rocket workshop - mentoring younger students in hands-on STEM learning activities with effective teaching strategies and practical guidance.
Open Source · GitHub Projects
github.com/itertius
Actively contributing to open source projects and maintaining a public GitHub profile with various AI/ML implementations, tools, and research code, demonstrating commitment to collaborative development and knowledge sharing.
Technical Writing · Medium Blog
medium.com/@itertius
Writing technical articles and tutorials on AI, machine learning, and software development to share knowledge with the developer community, establishing expertise in emerging technologies and best practices.
08

Contact

"A person who never made a mistake never tried anything new."
Albert Einstein

I'm always open to research collaborations, internship opportunities, and interesting conversations about AI and technology. Feel free to reach out.

Email
teverygood@gmail.com
GitHub
github.com/itertius
LinkedIn
linkedin.com/in/witsanupong-kolakul
Instagram
@iterriuss
Location
Saraburi · Bangkok, Thailand