About Me
I'm a Computer Engineering student with web development skills in both frontend and backend, and growing expertise in cloud technologies, particularly Microsoft Azure. I contribute to various tech projects and university clubs, demonstrating teamwork, problem-solving, and coordination skills.
Software Development
Building practical web systems, full-stack tools, and clean user experiences.
@NickKhunapoj
15+ repositories and 650+ total contributions across open-source projects and personal tools.
Beyond Code
Creative projects, content creation, and visual storytelling outside software development.
Education
Academic background
King Mongkut's University of Technology North Bangkok
Jul 2022 — May 2026Bachelor of Engineering in Computer Engineering
📍 Bangkok, Thailand
Bangkok Christian College
May 2010 — Mar 2022Primary and Secondary School in Mathematics & Science
📍 Bangkok, Thailand
Experience
Professional journey
Full-stack Developer (Internship)
May 2025 — Mar 2026SCG
📍 Bangkok, Thailand
Full-stack developer under the Cooperative Internship Program, responsible for building an electronics documentation system and an ML-based prediction and evaluation platform to support data-driven decision-making, improve production efficiency, increase productivity, and minimize paper waste in industrial operations.
Projects
What I've been building
myFridge Website
A project for Software Development Practice 1. A group project centred on developing a website to help users track food stocks and receive reminders about items in the fridge nearing their expiration date.
DekHor Portal
A project for Software Development Practice 2. A group project focused on creating a website that assists KMUTNB students in finding accommodation, dining options, and providing community spaces.
Design and Development of Digital Systems for Material Strength Prediction and Electronic Documentation in Manufacturing
This project develops a digital system for fiber cement roofing tile manufacturing by integrating EDOCS, an electronic document and approval workflow platform, with Phoenix, a machine learning prediction module. Phoenix uses XGBoost to predict material strength from 3,203 samples collected from two production plants, using sand properties and production parameters as input features. The system also applies Differential Evolution to recommend optimal production settings that maximize predicted strength. Model performance is evaluated using RMSE and R², while the system is implemented with Next.js, Django REST API, MSSQL, and Python-based machine learning modules.
Skills
- Next.js Web Apps
- System Architecture & Design
- UI/UX & User Experience
- Docker & Containerization
- Home Servers
- Home Assistant OS
- Git & GitHub
- Azure Fundamentals
- Database Concepts
- Storage Concepts
- Computer Vision
- Predictive Machine Learning
- AI Agentic Workflows
- Local AI & Cloud Integration
- Microcontrollers
- Raspberry PI
- FPGA & Logic Designs
- Internet of Things
- Networking Basics
- OSI Layer
- Basic IT Security
Test Scores
Standardized test results
IELTS Academic (2022-2024)
IELTS
IELTS test result: Overall Band Score 7.0, equivalent to CEFR Level C1, with 8.0 in Listening, 7.0 in Reading, 6.0 in Writing, and 6.0 in Speaking.
PDFView certificateTOEIC® Listening and Reading Test (2026-2028)
ETS
TOEIC test result: 965/990, equivalent to CEFR Level C1, with 495/495 in Listening Comprehension and 470/495 in Reading Comprehension.
PDFView certificateTOEFL ITP® Level 1 Test (2026-2028)
ETS
TOEFL ITP Level 1 test result: 617/677, with 64/68 in Listening Comprehension (CEFR C1), 60/68 in Structure and Written Expression (CEFR B2), and 61/67 in Reading Comprehension (CEFR C1).
PDFView certificateHonors & Awards
Recognitions and achievements
Makathon Next Gen (Hackathon by CP Axtra – Makro)
Final Round Participant Developed MarTech-driven solutions and strategic marketing plans to enhance Makro’s customer experience, boost brand awareness, and drive new user acquisition, supported by real-world customer research and market testing.
TESA Top Gun Rally 2025
Top Score – Command Post Visualisation Award A week-long event featuring intensive project-based challenges, hands-on workshops, and solution showcases designed to strengthen technical skills, problem-solving abilities, and collaboration among future engineering and IT leaders.
AMD Developer Hackathon: ACT II
Participated in AMD Developer Hackathon: ACT II, Track 1, focused on token-efficient AI task routing. Contributed to dataset gathering, cleaning, and task-classifier experimentation. Built a scikit-learn pipeline using word and character TF-IDF with LinearSVC. Compared multiple team approaches to identify accurate and efficient routing methods. Gained hands-on experience in AI agents, model routing, token efficiency, and teamwork.
Licenses & Certifications
Exam Certifications
Certificate of Completion
LFS101 - Introduction to Linux
The Linux Foundation
Cisco Networking Academy - Introduction to Cybersecurity
Cisco Networking Academy
Cisco Networking Academy - Networking Basics
Cisco Networking Academy
Cisco AI Technical Practitioner | AITECH
Cisco
Cisco AI Business Practitioner | AIBIZ
Cisco
Docker Essentials: A Developer Introduction
IBM
Containers & Kubernetes Essentials
IBM
Application Security for Developers and DevOps Professionals - IBM
Coursera