About Me
Hi, my name is Khant Htoo Naing. You can call me “Hokfu” or “Turtle”. I am from Myanmar.
I am currently working as a Agentic AI Developer based in Thailand.
My other interests are Machine Learning, Deep Learning, MLOps and LLMOps.
I can program in Python and GoLang.
Education
Yangon Technological University
Bachelor of Engineering (Computer Engineering and Information Technology)
2016 - 2020 ( 4th year )
Rangsit University, Rangsit International College, Thailand
Bachelor of Science (Information and Communication Technology)
2022 - 2025 ( Graduated )
Skills
- Python
- GoLang
- Agentic AI
- MLOps
- Machine Learning
Experience
Rangsit University Internation College
Teaching Assistant/Web Developer
December 2023 - April 2024
www.rsuip.org
I worked part time as a teaching assistant and web developer in Rangsit University International College for four months. This job involves helping students in developing simple web applications and my team also have to develop web apps for the college staffs and students.
General Magick Industries
Agentic AI Developer
June 2024 - Present
I develop different LLM applications with Generative AI. I also have to research different models and keep up with latest generative AI technologies, and find the most suitable model for different projects at the company.
Learnings
Machine Learning Zoomcamp
Machine Learning Zoomcamp from DataTalksClub
github.com/Hokfu/Machine_Learning_Camp
Personal Projects
An end to end MLOps project for predicting campaign success. The project includes data collection, data preprocessing, model training, model evaluation, and model deployment, monitoring.
I worked on this project as a capstone project while learning machine learning course. This project includes EDA, model training, evaluation and containarization of the model. I used Tensorflow and Keras to build a model that can classify between daisy and dandelion. I used a pre-trained model VGG16 and fine-tuned it to get the best results. The model is then deployed using Flask and containerzied with Docker.
This project is about classification of load type in a steel factory. In this project, by checking the energy consumption, power consumption, weekday or weekend, the model is trained to predict the energy load type. The trained model is then deployed using Flask and containerized with Docker.
Languages
- Burmese - Native
- English - Fluent
- Chinese - Intermediate