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Hello there 👋

Welcome to my github profile 🙏

I'm a Machine Learning Engineer at Thinking Machines with a passion for technology and innovation. My interests span across several exciting areas:

Interest and hobby

  • 🤖 Machine Learning: As an ML enthusiast, I explore cutting-edge algorithms, neural networks, and deep learning architectures. Solving real-world problems using data-driven approaches excites me. I am also super interest in MLOps and Devops best practice, such as CI/CD/CT ♾️ to automate deploy, evaluate and train the ML model in production level.
  • 🦾 IoT (Internet of Things): I find the convergence of physical devices and digital technologies fascinating. The ability to connect everyday objects to the internet opens up endless possibilities for automation, data collection, and smart decision-making. Please follow my project at this website for Object Detection with YOLOv8 rendering on client-side (your browser) using Rust's WebAssembly!
  • λ Functional Programming & Big Data: I believe that functional programming paradigms can lead to more robust, maintainable, and scalable software. The elegance of immutability, higher-order functions, and declarative code resonates with me. Furthermore, the Functional Programming Patterns makes the distributed programming easy! The abstraction of developing single-cpu programming and distributed computing programming over 1,000 CPU cores are the same!
  • 🚀 Study courses on MOOCs and reading tech blog whenever possible to keep updating new technologies!
  • 🕹 Play console games on playstation 4 & 5 ​🎮

My Certificates!

Favourite tech stacks and programming languages

Language Frameworks
Actix
huggingface

aws googlecloud sql

My Github Stats

Please follow me on

Korntewin Boonchuay's Projects

42circus icon 42circus

Aggregation of 42 circus projects in 42 school

asvs icon asvs

Application Security Verification Standard

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

dcgan_code icon dcgan_code

Deep Convolutional Generative Adversarial Networks

gpt-tkn-analyzer icon gpt-tkn-analyzer

GPT Token Analyzer to visualize & analyze various language token for GPT tokenizer

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

lesson-2 icon lesson-2

Creating our first component, homepage and adding scss to help us with writing our styles

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

m1-summer-17 icon m1-summer-17

Repo associated with Module 1 Assesment on Writing Professional Code, summer 2017.

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