Available for opportunities

Thirasak
Chanyu

Junior AI/ML Engineer building intelligent systems with Python & modern ML frameworks. Focused on model development, training pipelines, and deploying AI-driven solutions.

View Projects Get In Touch

~/thirasak — zsh

→ cat profile.json

{

"role": "AI/ML Engineer",

"focus": "Machine Learning & AI Systems",

"location": "Chiang Mai, TH",

"stack": [

"Python", "Scikit-learn",

"PyTorch", "MLflow", "MLOps"

"status": true

}

→

Projects

ML Tools

2nd

Year Student

01 // About

Building Intelligent
AI/ML Systems

I'm a Digital Technology student focused on AI and Machine Learning engineering. I build and train models using Python, PyTorch, and Scikit-learn, backed by a strong foundation in the data pipelines that power ML systems.

I'm passionate about continuous learning and developing deep expertise in machine learning — from model design and training to evaluation, experiment tracking, and deployment concepts.

My goal is to engineer reliable, production-ready AI systems that solve real problems — combining strong ML fundamentals with clean, reproducible workflows and maintainable code.

Career Target

AI/ML Engineer
Specializing in ML Systems

Model Development Deep Learning ML Pipelines Experiment Tracking

CURRENTLY STUDYING

The Far Eastern University

B.Sc. Digital Technology

📍 Chiang Mai, Thailand

02 // Skills

Technical Arsenal

⌨ Core Programming

Python

SQL

NumPy / Pandas

🤖 Machine Learning

Scikit-learn

PyTorch / TensorFlow

Model Training & Evaluation

Feature Engineering

Supervised / Unsupervised Learning

🔬 MLOps & Experimentation

MLflow

Experiment Tracking

Model Deployment learning

💾 Data & Storage

PostgreSQL

Data Preprocessing & Cleaning

ETL Pipeline Development

⭐ Main Stack Focus

Python

PyTorch & TensorFlow

Scikit-learn

MLflow

SQL & PostgreSQL

Git

🛠 Tools & Environment

Git

Jupyter Notebooks

Docker (Basic)

Linux / CLI

03 // Projects

What I've Built

🏥

Optimized ML Insurance Predictor

Built an end-to-end machine learning pipeline to predict medical insurance costs. The project involved rigorous data preprocessing and a comparison between hyperparameter-tuned Decision Tree and Random Forest models to achieve the most accurate predictions.

Python Scikit-learn Pandas Matplotlib

🔥

None

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📊

None

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04 // Contact

Let's Connect

I'm open to opportunities, collaborations, and discussions about AI and machine learning. Currently seeking internships and junior AI/ML Engineer roles. Based in Chiang Mai — open to remote.

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